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Illicit Transposition

Also Known As: Converse Error Confusion of Converse
Formal Fallacy ID: illicit_transposition

Definition

A formal fallacy that confuses a conditional with its converse. The valid contrapositive of 'if A then B' is 'if not B then not A,' but illicit transposition instead derives 'if B then A,' which does not logically follow.

Examples

If it is raining, the ground is wet. Therefore, if the ground is wet, it is raining.

If someone is a licensed pilot, they have passed a flight test. Therefore, if someone has passed a flight test, they are a licensed pilot. (Ignores the fact that student pilots, military personnel, and others may pass flight tests without holding a commercial license.)

If a company is bankrupt, it cannot pay its employees. Therefore, if a company cannot pay its employees, it must be bankrupt. (Confuses the conditional with its converse — there are many reasons a company might fail to pay employees that have nothing to do with bankruptcy.)

Formal Logic Pattern
FOL Pattern
The First-Order Logic formula representing this reasoning pattern's logical structure.
FOL (First-Order Logic) uses quantifiers (∀ = for all, ∃ = there exists), connectives (∧ = and, ∨ = or, ⇒ = implies, ¬ = not), and predicates to capture the essential form of a reasoning pattern. For example, the Ad Hominem fallacy: Person(x) ∧ HasFlaw(x) ⇒ Invalid(Claim(x)). These patterns allow automated verification of logical validity.

(A ⇒ B) ⇒ (B ⇒ A)
Formal Verification:
Formal Verification
Checks whether a reasoning pattern is logically valid or invalid using an automated theorem prover.
Formal verification uses an SMT (Satisfiability Modulo Theories) solver — specifically Z3 — to mathematically check whether an argument's logical structure is valid. Each reasoning pattern is translated into First-Order Logic and tested: Can the premises be true while the conclusion is false? If yes, it's formally invalid. If no, it's formally valid. Many real-world patterns (analogies, heuristics) cannot be fully captured in formal logic — these are marked as not formally decidable, which doesn't mean they're wrong.
Formally invalid

Verification Steps
Verification Steps
Binary yes/no questions that an AI must answer to detect a reasoning pattern in a text.
Each of the 452 aspects has verification steps — simple yes/no questions designed to systematically detect whether a pattern appears in a text. For ad hominem: "Does the argument attack a person rather than their claim?" For false dichotomy: "Are only two options presented when more exist?" This ensures consistent, reproducible analysis.

Binary (yes/no) questions an LLM must answer to identify this aspect:

  1. 1

    Does the argument involve a conditional statement (if A then B)?

    Type: binary
  2. 2

    Does the argument attempt to derive the converse (if B then A) without negation?

    Type: binary
  3. 3

    Is the converse treated as logically equivalent to the original conditional?

    Type: binary
Deep Dive
The expandable detail section on each aspect page with examples, psychology, and counter-strategies.
The Deep Dive section provides in-depth information about each aspect: a real-world example showing the pattern in action, an explanation of why it works psychologically, practical advice on how to counter it, alternative names, and links to related aspects.