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Skeptical Scenarios and Knowledge Closure

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Epistemic ClosureThe Problem of the External World+4 more→→Epistemic Closure and Logical Closure Principles
skepticism scenarios closure knowledge

Core Idea

Skeptical scenarios (brains in vats, Descartes' demon, sophisticated simulation) challenge closure by seemingly showing we can know ordinary propositions (I have hands) without knowing we're not in skeptical scenarios (I'm not a brain in a vat), even though the former entails the latter. This forces epistemology to choose between accepting skepticism, rejecting closure, or distinguishing levels of knowledge. The tension illustrates a fundamental problem in the foundations of knowledge.

How It's Best Learned

Examine skeptical hypotheses (brain in a vat, evil demon, simulation) and identify the intuition driving closure: if you don't know you're not in the skeptical scenario, how can you know ordinary facts? Test proposed resolutions.

Common Misconceptions

Explainer

From your study of external world skepticism, you know the basic skeptical problem: our sensory evidence is compatible with radically different underlying realities. From your study of epistemic closure, you know the principle: if you know P, and you know that P entails Q, then you know Q (or are in a position to know Q). Skeptical scenarios with closure arguments combine these into one of the sharpest challenges in epistemology. The argument goes quickly from ordinary common sense to apparent disaster.

Here is the core inference. You believe you have hands — you can see them, feel them, you've used them all your life. Call this belief H. Now consider a skeptical scenario: a brain in a vat (BIV), connected to a computer that produces perfectly coherent simulated experiences of having hands and a body. If you were a BIV, your experiences would be indistinguishable from your actual experiences. Now, H (I have hands) entails not-BIV (I am not a brain in a vat), because if you're a brain in a vat, you don't actually have hands. By closure, if you know H, you must know not-BIV. But can you know not-BIV? You have no experience or evidence that discriminates between the real-hands scenario and the BIV scenario. It seems you can't rule out BIV. Therefore, by modus tollens running the closure argument backwards, perhaps you don't know H either. The ordinary knowledge you took for granted is apparently undermined.

Three major response strategies have been developed. The first is accepting skepticism: bite the bullet and acknowledge that we don't know ordinary propositions in the strict philosophical sense. This is intellectually honest but practically bizarre — we can't operate as though we don't know we have hands. The second is rejecting closure: some philosophers (notably Fred Dretske and Robert Nozick) argue that knowledge does not transmit through entailment in this way. On a tracking account, you know H because your belief in H tracks the truth — you would not believe you have hands if you didn't. But you don't need your belief in not-BIV to track its truth. Knowledge can be compartmentalized. The third strategy is contextualism: what counts as "knowing" depends on the context of inquiry. In an ordinary conversation, saying "I know I have hands" is true; in a skeptical philosophical seminar where BIV scenarios are explicitly raised, the standards for "knowing" are elevated and the claim might be false. Knowledge attributions are context-sensitive, not absolute.

Your soft prerequisites in possible worlds semantics are useful here. Tracking accounts can be expressed in modal terms: you know P if there is no nearby possible world in which you falsely believe P. BIV worlds are not "nearby" in the relevant sense — they are highly unusual alternative scenarios, not close variations on your actual situation. This is why the tracking theorist can say: I know I have hands (no close world where I'm wrong about this), even though I don't know I'm not a BIV (the BIV world, though distant, is indistinguishable from this one and I couldn't detect the difference). The modal framework makes precise what "relevant alternatives" means and which possibilities must be eliminated for knowledge.

The philosophical importance of this topic extends beyond academic puzzle-solving. How you resolve the tension between closure and skeptical scenarios reveals your deeper commitments about what knowledge is for. If knowledge requires ruling out every logically possible alternative, it becomes unattainable. If it requires ruling out only practically relevant alternatives, it is attainable but the notion of "relevance" needs an account. The skeptical scenarios argument is a stress test: a theory of knowledge that cannot explain why ordinary people genuinely know they have hands, while also explaining why we cannot empirically rule out BIV scenarios, is in trouble. The solutions (denying closure, contextualizing knowledge, invoking possible worlds) are also the leading positive theories of knowledge in contemporary epistemology.

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Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → Boolean Algebra → Introduction to Propositional Logic → Introduction to Predicate Logic (First-Order Logic) → First-Order Logic Syntax → Terms and Atomic Formulas in FOL → Variable Binding and Scope → Open and Closed Formulas in First-Order Logic → Variable Substitution and Capture-Avoidance in First-Order Logic → Quantifier Instantiation Rules in First-Order Proof Systems → Universal Quantification: Meaning and Scope → Free Variables and Bound Variables → Substitution and Instantiation in Predicate Logic → Terms and Atomic Formulas → Formulas and Well-Formed Expressions → Structures and Interpretations → Model Interpretation and Satisfaction → Interpretation, Truth, and Satisfaction of Formulas → Logical Consequence and Entailment → Soundness Theorem and Validity of Proof Systems → Deductive Reasoning and Formal Proof Systems → First-Order Resolution → Propositional Resolution → Semantic Tableaux (Propositional) → Semantic Tableaux (First-Order) → Decidable Fragments of First-Order Logic → Gödel's Completeness Theorem for First-Order Logic → Gödel's Incompleteness Theorems → Introduction to Intuitionistic Logic → Introduction to Modal Logic → A Priori and A Posteriori Knowledge → Rationalism vs. Empiricism → The Problem of Induction → Popper's Falsificationism → Falsifiability as the Criterion of Demarcation → The Falsifiability Criterion and Its Problems → Kuhn's Paradigm Theory → Normal Science and Anomalies → Thomas Kuhn and Paradigm Shifts → Scientific Progress and Convergence to Truth → Scientific Realism → Naturalism About Semantic Facts → Propositions and Semantic Content → Truth Conditions and Meaning → Formal Language and Natural Language Semantics → Two-Dimensional Semantics → Modal Semantics and Possible Worlds → Possible Worlds Semantics for Knowledge → Closure Principles Formalized → Deductive Closure and Knowledge → Skeptical Scenarios and Knowledge Closure

Longest path: 118 steps · 895 total prerequisite topics

Prerequisites (6)

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