Counterfactual Conditionals and Similarity

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conditionals modality counterfactuals

Core Idea

Counterfactual conditionals are analyzed using possible worlds ordered by similarity to the actual world. A counterfactual is false when its consequent is false in the closest worlds where the antecedent is true, distinguishing them from material conditionals and strict conditionals.

Explainer

From your study of possible worlds semantics you know that modal claims — claims about what is possible, necessary, or contingent — are analyzed in terms of how things stand across different ways the world could be. A counterfactual conditional like "If the match had been struck, it would have lit" is a claim about what would have been true in a situation that did not actually occur. The antecedent ("the match was struck") is false in the actual world. The conditional is asking: in scenarios where that false antecedent was true instead, what else would have been true?

The problem with the material conditional analysis familiar from propositional logic is that a material conditional is simply false when its antecedent is false — which means all counterfactuals would be vacuously true (since their antecedents are false). But "If the match had been struck, it would have turned into a fish" is not true. We need an account that distinguishes good counterfactuals from bad ones. Robert Stalnaker and David Lewis independently developed the closest-worlds analysis: a counterfactual "If P had been the case, Q would have been the case" is true just in case Q holds in the closest possible worlds to the actual world where P is true. The match-would-light counterfactual is true because in the nearest worlds where the match is struck (dry conditions, oxygen present, not on Pluto) it lights. The match-would-become-a-fish counterfactual is false because even in nearby worlds where it is struck, fish don't appear.

The notion of world-similarity — what makes one possible world "closer" to actuality than another — does the main work and is the main source of debate. Lewis argued for a set of priorities: large-scale violations of actual laws of nature make a world less similar than small "miracles" confined to the antecedent event; then comes overall match of particular fact across history; then exact match of laws. This gives counterfactuals an asymmetry of time: "If Nixon had pressed the button, there would have been nuclear war" is evaluated by looking forward from the moment of pressing, not backward. The past remains as it was; the counterfactual consequence unfolds into the future. A backtracking reading — "If Nixon had pressed the button, something in his past must have been different to make him do so" — is non-standard, and Lewis's similarity ordering explains why.

Counterfactuals are not merely a semantic curiosity. They underpin the analysis of causation: on counterfactual theories, C caused E just in case if C had not occurred, E would not have occurred. They also figure centrally in scientific and practical reasoning: a law of nature supports counterfactuals in a way that an accidental regularity does not. "All copper conducts electricity" supports "If this penny were copper, it would conduct electricity"; "All coins in my pocket are copper" does not support the same form of reasoning about coins generally. The distinction between laws and accidents, between causal and non-causal regularities, and between robust and fragile generalizations all cash out, in part, in terms of which counterfactuals are supported.

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Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical Inference and Proof RulesProof Strategies in Discrete MathematicsSoundness and Completeness of Propositional LogicSoundness and Completeness of First-Order LogicCompactness Theorem for First-Order LogicBasic Model TheoryLöwenheim-Skolem TheoremsGödel's Incompleteness TheoremsIntroduction to Intuitionistic LogicIntroduction to Modal LogicModal Semantics: Necessity and PossibilityIntensionality and Possible Worlds SemanticsEvent SemanticsAktionsart (Lexical Aspect)Viewpoint Aspect (Perfective and Imperfective)Formal Semantics of Tense and TimeFormal Semantics of Modality and PossibilityPossible Worlds SemanticsCounterfactual Conditionals and Similarity

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