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Tu Quoque

Also Known As: Appeal to Hypocrisy Whataboutism Two Wrongs Make a Right
Informal Fallacy ID: tu_quoque

Definition

Tu quoque ('you too') deflects criticism by pointing out that the accuser is guilty of the same or similar behavior. While it may reveal hypocrisy, it does not actually address whether the original criticism is valid. The behavior in question remains wrong regardless of whether the critic also engages in it. It is a specific form of ad hominem that weaponizes consistency expectations.

Examples

"You're telling me to eat healthier? You had fast food three times this week! You have no right to lecture me."

A teenager caught cheating on an exam says to the teacher: 'You told us you used to copy homework in school, so you can't punish me for this.'

During a climate summit, a delegate dismisses another country's emission reduction demands: 'You're asking us to cut our carbon output? Your country is one of the top polluters in the world. You have no standing to make these demands.'

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.

Does(x, ¬P) ⇒ Invalid(Asserts(x, P))
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.
Not formally decidable

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 response point to the opponent's inconsistent behavior?

    Type: binary
  2. 2

    Is the opponent's hypocrisy used to dismiss their argument?

    Type: binary
  3. 3

    Does the response fail to address the original argument on its merits?

    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.

Hierarchical Context