Logical Fallacies

LogFall

A practical logical-fallacies reference with clear explanations, usable examples, and teaching tools.

Fallacy profile

False attribution

Occurs when support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be.

EvidentialTactical

Definition

Occurs when support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be.

Illustrative example

A viral image says a Nobel Prize winner proved the treatment works, but the quote is fake and the expert never said it.

Teaching gauges

These 0-100 gauges are teaching aids for comparing fallacies. They are editorial classroom estimates, not measured statistics.

Very common

80

Common in today's rhetoric

Appears regularly in everyday public rhetoric.

Easy to catch

70

Easy to spot

Often easy to catch with a little attention.

Very easy to slip into

70

Easy to innocently commit

A frequent unintentional slip in ordinary reasoning.

Foundational

25

Difficulty

Usually approachable without much prior logic background.

Middle school+Scientific reasoning

Reference

Family

Evidential/Methodological Fallacy

The mistake lies in how evidence is gathered, weighed, interpreted, or treated as sufficient.

Quick check

What evidence is missing, selected, or overstretched here?

Why it misleads

A fuller explanation of how the fallacy works and why it can look persuasive.

Source quality matters, but only if the source is real, relevant, and represented fairly. A false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

That's like saying...

Instead of leading with the label, this analogy answers the shape of the reasoning move directly so the mistake is easier to see in plain language.

Fallacious claim

A viral image says a Nobel Prize winner proved the treatment works, but the quote is fake and the expert never said it.

That's like saying...

That's like forging a mechanic's signature on a repair report and then treating the fake signature as proof the brakes are fine. Borrowed credibility from the wrong source is being treated as real support.

Caveat

This label is easy to overuse. The point here is not to call every weak argument by this name, but to reserve it for the exact misstep it describes.

Common misapplication

Do not use this label simply because the evidence is incomplete. It applies when the argument claims more support than the evidence has actually earned.

Use the label only when...

Use this label only when support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. If the real problem is that a contested claim is simply asserted, often confidently, without the evidence needed to justify it, the better label is Bare assertion fallacy.

Often confused with

These near neighbors are easy to mix up, so use the comparison to see the exact difference.

Comparison

Bare assertion fallacy

Why people mix them up: Both often look like evidential and tactical mistakes at first glance.

Exact difference: False attribution happens when support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. Bare assertion fallacy happens when a contested claim is simply asserted, often confidently, without the evidence needed to justify it.

Quick split: What evidence is missing, selected, or overstretched here? Then compare it with What evidence is missing, selected, or overstretched here?

Comparison

Cherry picking

Why people mix them up: Both often look like tactical and evidential mistakes at first glance.

Exact difference: False attribution happens when support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. Cherry picking happens when someone selects only the evidence that supports a conclusion and ignores a wider body of evidence that weakens, qualifies, or reverses it.

Quick split: What evidence is missing, selected, or overstretched here? Then compare it with Is the argument still addressing the original issue, or has the conversation been steered away?

Practice And Repair

Extra teaching tools that show why the fallacy is persuasive, what to look for, and how to correct it.

Why it matters

Why this mistake matters

False attribution threatens rationality because support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be.

Main reasoning problem

Support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be.

Why this kind of mistake matters

It overstates, understates, cherry-picks, or misallocates the force of evidence.

Check yourself

The assessment area now uses mixed 10-question sets, so the fallacy is not announced in the title before the quiz begins.

What the assessment does

You will work through a mixed set of fallacy-identification questions. Focused links from a fallacy page will quietly include this fallacy among nearby look-alikes without announcing the answer in the page title.

Questions to ask

Use these category-based prompts to audit similar arguments.

Prompt 1

What evidence is missing, selected, or overstretched here?

Prompt 2

Is the argument still addressing the original issue, or has the conversation been steered away?

Case studies

Each case study explains why the example fits the fallacy and links back to its source whenever source information is available.

To help 2024 voters, Meta says it will begin labeling political ads that use AI-generated imagery

AP's report on Meta's decision to label AI-generated political ads shows how much public trust can hang on surface cues such as labels, watermarks, and disclosure language. Those cues matter, but they are not substitutes for checking who made a claim or whether the substance is true. The fallacy here is False attribution: support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. That matters here because source quality matters, but only if the source is real, relevant, and represented fairly. A better analysis would remember that a false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

Associated Press · 2023-11-08

Google makes fixes to AI-generated search summaries after outlandish answers went viral

When AP covered Google's erroneous AI overviews, the central lesson was that a system can sound authoritative while still misreading queries, flattening context, or repeating bad source material. The episode is a strong real-world case of surface fluency masking evidential and conceptual weakness. The fallacy here is False attribution: support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. That matters here because source quality matters, but only if the source is real, relevant, and represented fairly. A better analysis would remember that a false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

Associated Press · 2024-05-31

Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said

AP's reporting on Whisper hallucinating in hospital transcripts is a sharp case of a polished output being treated as if accuracy followed from confidence and fluency. It also shows why one plausible-seeming example is not enough to certify a tool as reliable in high-stakes settings. The fallacy here is False attribution: support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. That matters here because source quality matters, but only if the source is real, relevant, and represented fairly. A better analysis would remember that a false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

Associated Press · 2024-10-26

The anonymous affidavit circulated after the September 2024 ABC debate was amplified as if it were a verified insider source even though the core allegations were not authenticated. The fallacy here is False attribution: support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. That matters here because source quality matters, but only if the source is real, relevant, and represented fairly. A better analysis would remember that a false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

Viral quote cards and screenshot posts often attach dramatic claims to scientists, judges, or agencies who never said them, counting on readers to trust the label instead of checking the source. The fallacy here is False attribution: support for a claim is borrowed from a source that is fabricated, misquoted, unqualified, anonymous in the wrong way, or otherwise not what it is presented to be. That matters here because source quality matters, but only if the source is real, relevant, and represented fairly. A better analysis would remember that a false attribution can make weak claims feel borrowed from a stronger authority than they actually have.

Related fallacies

Nearby entries chosen by shared categories and family resemblance.