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Burden of Proof Fallacy

Also Known As: Onus Probandi Shifting the Burden of Proof
Informal Fallacy 📰 Media Bias ID: burden_of_proof

Definition

The burden of proof fallacy occurs when someone shifts the responsibility of proving a claim onto the person who questions or denies it, rather than accepting that the one making the claim bears the initial burden. In logic and science, the person asserting a positive claim must provide evidence; it is not the skeptic's job to disprove it. This fallacy often appears alongside unfalsifiable claims.

Examples

"I believe invisible energy fields surround every person. You can't prove they don't exist, so you have to accept that they do."

A conspiracy theorist insists: 'The moon landing was staged in a Hollywood studio. Prove to me it wasn't, and until you can, you have to admit I might be right.'

During a product meeting, a colleague argues: 'I think our competitor is secretly copying our roadmap. No one has shown any evidence that they aren't, so we should assume they are and act accordingly.'

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.

¬Proven(¬P) ⇒ 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 a party make a claim?

    Type: binary
  2. 2

    Does the claimant fail to provide evidence and instead demand the opponent disprove it?

    Type: binary
  3. 3

    Is the burden of proof being shifted from the person making the positive claim?

    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