Conditional Perfection
The phenomenon where "If A then C" is interpreted as "A iff C".
Example: "If you mow the lawn, I'll give you $5" → Often interpreted as: "If you DON'T mow the lawn, I WON'T give you $5"
This is an "invited inference" - not entailed, but strongly suggested.
- sentence : String
The conditional sentence
- perfectedReading : String
The perfected (biconditional) reading
- perfectionObserved : Bool
Whether perfection is typically inferred
- conditions : String
Any special conditions for the inference
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Classic example from Geis & Zwicky
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Example where perfection is NOT inferred
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Example where perfection is blocked
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Missing-Link Infelicity
The phenomenon where conditionals with unrelated antecedent and consequent sound odd or unacceptable.
Example: "If my coffee is cold, the Eiffel Tower is in Paris" → True (material conditional) but pragmatically odd
This is explained by the assertability-based semantics: the conditional is infelicitous because P(C|A) ≈ P(C), indicating no connection.
- sentence : String
The conditional sentence
- materiallyTrue : Bool
Whether the material conditional is true
- felicitous : Bool
Whether the sentence sounds felicitous
- explanation : String
Explanation for the (in)felicity
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Classic missing-link example
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Another missing-link example
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Felicitous conditional for comparison
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Douven's Puzzle (@cite{douven-2008}, discussed in @cite{grusdt-lassiter-franke-2022})
A puzzle about when conditionals are assertable.
Scenario: You have an almost-fair coin (51% heads). Is it appropriate to assert "If you flip the coin, it will land heads"?
Intuition: NO - despite P(H|flip) = 0.51 > 0.5, the conditional seems too weak.
This suggests assertability requires P(C|A) >> P(C), not just P(C|A) > 0.5. The threshold θ ≈ 0.9 in Grusdt et al. captures this.
- conditionalProb : ℚ
P(C|A) in the scenario
- unconditionalProb : ℚ
P(C) (unconditional probability of consequent)
- intuitivelyAssertable : Bool
Intuitive judgment: is the conditional assertable?
- sentence : String
The conditional sentence
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The original Douven scenario
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- Phenomena.Conditionals.douvenCoinFlip = { conditionalProb := 51 / 100, unconditionalProb := 51 / 100, intuitivelyAssertable := false, sentence := "If you flip the coin, it will land heads" }
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A case where assertion IS appropriate
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- Phenomena.Conditionals.highProbCase = { conditionalProb := 95 / 100, unconditionalProb := 1 / 2, intuitivelyAssertable := true, sentence := "If you water the plant, it will grow" }
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Edge case: P(C|A) high but P(C) also high
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- Phenomena.Conditionals.baseRateCase = { conditionalProb := 95 / 100, unconditionalProb := 90 / 100, intuitivelyAssertable := false, sentence := "If you use sunscreen, you won't get sunburned" }
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Indicative/Subjunctive Split
English (and many languages) distinguish:
- Indicative: "If it rains, the game is cancelled"
- Subjunctive: "If it were to rain, the game would be cancelled"
These have different interpretations:
- Indicative: epistemic uncertainty, open whether A is true
- Subjunctive: counterfactual, A is assumed false
Example: "If Oswald didn't kill Kennedy, someone else did" (indicative) - TRUE "If Oswald hadn't killed Kennedy, someone else would have" (subjunctive) - FALSE/UNCERTAIN
- indicative : String
The indicative version
- subjunctive : String
The subjunctive/counterfactual version
- indicativeJudgment : String
Judgment on indicative
- subjunctiveJudgment : String
Judgment on subjunctive
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Adams' Oswald example
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Standard minimal pair
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Conditionals in questions exhibit interesting behavior.
"If it rains, will the game be cancelled?" vs "Will the game be cancelled if it rains?"
These are typically equivalent, but word order can affect focus/presupposition.
- question : String
The conditional question
- expectedAnswer : String
The expected answer form
- notes : String
Notes on interpretation
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Biscuit Conditionals
Non-causal conditionals where the consequent's truth doesn't depend on the antecedent.
Example: "If you're hungry, there are biscuits on the table" → The biscuits are there regardless of whether you're hungry
The antecedent specifies WHEN the information is relevant, not a cause.
- sentence : String
The biscuit conditional
- paraphrase : String
Paraphrase showing the structure
- consequentDepends : Bool
Whether consequent depends on antecedent
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- Phenomena.Conditionals.anotherBiscuit = { sentence := "If you need me, I'll be in my office", paraphrase := "I'll be in my office (relevant if you need me)", consequentDepends := false }
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Key empirical generalizations about conditionals
- perfectionObserved : Bool
Conditional perfection is observed
- missingLinkInfelicitous : Bool
Missing-link conditionals are infelicitous
- highThresholdRequired : Bool
High threshold required for assertability (not just > 0.5)
- indicativeSubjunctiveDiffer : Bool
Indicative ≠ subjunctive in truth conditions
- biscuitConditionalsExist : Bool
Biscuit conditionals exist (non-causal)