Advanced Logical Fallacy Detector Calculator

Test statements using structured patterns and severity. See triggers, confidence, counterpoints, and cleaner revisions instantly. Strengthen proofs and debates through clearer logical judgment daily.

Calculator Input

Use this rule-based detector to score argument quality, identify likely fallacies, and improve reasoning clarity in mathematical or general statements.

Example Data Table

Sample Statement Likely Fallacy Why It Flags Improved Revision
Either this theorem shortcut is perfect, or proofs are pointless. False Dilemma It reduces a complex choice to two extremes. Compare several proof methods and explain trade-offs.
My teacher says this conjecture is true, so it must be true. Appeal to Authority Authority is treated as proof without independent support. Add derivation, examples, or cited evidence.
This classmate is clueless, so their geometry argument fails. Ad Hominem The person is attacked instead of the claim. Critique the geometric steps directly.
One noisy sample ruined the model, therefore the whole method never works. Hasty Generalization A broad claim is made from limited evidence. Use more samples and avoid absolute wording.
After we changed variables, the answer improved, so the substitution caused correctness. Post Hoc Timing is confused with causation. Test other reasons the solution improved.

Formula Used

This detector uses a weighted heuristic formula. It is educational and useful for review, but it is not a formal proof verifier.

Fallacy Confidence_f = clamp(Base_f + 15 × PatternHits_f + StructuralBonus_f + ModeAdjustment − EvidenceReduction, 0, 100)
Evidence Index = clamp(8 × EvidenceQuality + 3 × Sources + SupportBonus + CounterargumentBonus − EmotionPenalty, 0, 100)
Overall Logic Score = clamp(100 − 0.55 × AverageDetectedConfidence + 0.20 × EvidenceIndex + 0.15 × ClarityIndex − CertaintyPenalty, 0, 100)

Pattern hits count phrase matches such as absolutes, personal attacks, authority claims, extreme chains, or causal shortcuts.

Structural bonus increases when the text shows warning cues such as repeated absolutes, heavy emotional tone, excess certainty, or dramatic punctuation.

Evidence reduction lowers fallacy confidence when the argument includes stronger support, cited examples, and counterarguments.

How to Use This Calculator

  1. Paste the statement or reasoning you want to review.
  2. Add supporting evidence, proof ideas, examples, or assumptions.
  3. Optionally include a counterargument to improve balance scoring.
  4. Set evidence, emotion, and certainty levels to match the tone.
  5. Choose an analysis mode and submit the form.
  6. Review the overall logic score, flagged fallacies, and revision tips.
  7. Use the graph and result table for quick comparison.
  8. Download CSV or PDF reports for documentation or classroom review.

Frequently Asked Questions

1. What does this detector calculate?

It scores likely logical fallacy patterns, evidence strength, clarity, and overall reasoning quality. The output helps you revise weak claims more systematically.

2. Is this an AI proof checker?

No. It is a weighted rule-based detector. It identifies reasoning signals and suspicious wording, but it does not replace formal proof validation.

3. Can it analyze mathematical arguments?

Yes. It is especially useful for checking explanations, debate language, assumptions, and overconfident claims around proofs, conjectures, methods, or model results.

4. Why can a strong argument still receive flags?

A strong idea may still use risky wording, emotional framing, or unsupported shortcuts. The tool highlights improvement areas, not just final correctness.

5. What increases the overall logic score?

Clear structure, reasonable certainty, cited evidence, balanced tone, and acknowledgment of alternatives usually raise the score and reduce fallacy confidence.

6. Does emotional language always mean a fallacy?

No. Emotion alone is not automatically flawed. It becomes risky when emotion replaces evidence or pressures the reader instead of supporting the claim.

7. How should I read the confidence percentages?

Treat them as heuristic risk levels. Higher percentages mean stronger pattern matches, not guaranteed fallacies. Always review the explanation and triggers.

8. Can I export the results?

Yes. The page includes CSV export for tables and PDF export for shareable reports.

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Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.