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A logical fallacy detector is a tool that scans argument text for weak reasoning patterns such as ad hominem attacks, straw man framing, and false dichotomies. This logical fallacy finder helps you identify logical fallacies quickly by flagging likely issues and explaining why the reasoning may be flawed.
Paste any debate excerpt, essay paragraph, or comment thread into this free argument fallacy checker to get instant client-side analysis with trigger text, explanations, and examples. Nothing is sent to a server.
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Results update in the browser as you type. Each detected fallacy includes the trigger text, a short explanation, and an example.
100% client-side heuristic analysis. Your text stays in your browser.
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This logical fallacy detector works entirely in the browser and checks for common reasoning problems such as ad hominem, straw man, false cause, loaded question, and more.
Use the detector as a first-pass audit, then refine the argument with the definitions and examples below.
Paste a debate transcript, essay paragraph, speech excerpt, or social post into the detector.
The tool scans for phrase patterns and rhetorical cues linked to common logical fallacies.
Each detected fallacy shows the sentence that triggered the match so you can inspect the reasoning in context.
Use the definitions and examples below the tool to rewrite weak claims into clearer arguments.
This reference section lists every fallacy the tool checks, even when the current argument does not trigger it. Use it to identify logical fallacies more consistently over time.
An ad hominem attacks the person making the argument instead of addressing the claim itself.
Example: "Ignore her policy idea. She is clueless."
A straw man misrepresents someone else's position into a weaker or more extreme claim that is easier to attack.
Example: "You want shorter meetings, so you must want the team to stop communicating."
A red herring introduces a distracting side issue that pulls attention away from the original argument.
Example: "We were discussing rent prices, but the real issue is how rude city traffic feels."
A false dichotomy presents only two choices when more options or nuance actually exist.
Example: "Either we ban phones entirely or students will never learn."
A slippery slope claims that one small step will inevitably trigger a chain of extreme consequences.
Example: "If we allow one late assignment, soon deadlines will disappear and school will collapse."
An appeal to authority treats a claim as true mainly because a famous or credentialed person says it.
Example: "A billionaire founder said it, so it must be correct."
An appeal to emotion substitutes feelings like fear, guilt, pity, or outrage for solid reasoning.
Example: "If you cared about families, you would support this law immediately."
A bandwagon fallacy argues that something is right or best because many people believe or do it.
Example: "Everyone uses this study app, so it must be the smartest choice."
Circular reasoning uses the conclusion as part of its own support instead of adding new evidence.
Example: "This rule is fair because it is obviously fair."
A hasty generalization draws a broad conclusion from too little evidence or a tiny sample.
Example: "I met two rude tourists, so tourists are disrespectful."
A false cause assumes that because one event happened before or near another, it caused it.
Example: "Sales dipped after the rebrand, so the new logo caused the decline."
A tu quoque dismisses criticism by accusing the other side of hypocrisy instead of addressing the argument.
Example: "You waste energy too, so your climate argument does not matter."
A loaded question smuggles an unproven assumption into the question itself.
Example: "Why are you always misleading voters?"
Equivocation shifts the meaning of a key word or phrase during the argument.
Example: "The plan is free, and free means there should be no limits at all."
An appeal to nature treats something as good, safe, or right simply because it is natural.
Example: "It is natural, so it must be safer than the synthetic option."
A no true Scotsman moves the goalposts by redefining a group to exclude counterexamples.
Example: "No real environmentalist would ever take that flight."
A logical fallacy detector is a tool that scans argument text for common reasoning errors such as ad hominem attacks, straw man framing, false dichotomies, and slippery slope claims. This free tool uses client-side heuristics to identify logical fallacies and explain why they may weaken an argument.
It is best used as an educational heuristic tool, not a formal proof engine. It highlights likely fallacy patterns based on wording and structure, then lets you inspect the trigger text and definitions yourself.
No. The page runs entirely in your browser with no API calls, so the text you paste stays on your device during analysis.
The detector checks for ad hominem, straw man, red herring, false dichotomy, slippery slope, appeal to authority, appeal to emotion, bandwagon, circular reasoning, hasty generalization, false cause, tu quoque, loaded question, equivocation, appeal to nature, and no true Scotsman patterns.
After you identify logical fallacies, pull a fresh resolution from the debate topic generator and test whether the revised argument holds up under a new prompt.
Explore the debate topic generatorWatch the main product to see AI bots argue live, then use this detector to inspect the reasoning patterns you hear in the arena.
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