Fallacy
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A fallacy is the use of invalid or otherwise faulty reasoning in the construction of an argument[1][2] that may appear to be well-reasoned if unnoticed. The term was introduced in the Western intellectual tradition by the Aristotelian De Sophisticis Elenchis.[3]
Fallacies may be committed intentionally to manipulate or persuade by deception, unintentionally because of human limitations such as carelessness, cognitive or social biases and ignorance, or potentially due to the limitations of language and understanding of language. These delineations include not only the ignorance of the right reasoning standard but also the ignorance of relevant properties of the context. For instance, the soundness of legal arguments depends on the context in which they are made.[4]
Fallacies are commonly divided into "formal" and "informal". A formal fallacy is a flaw in the structure of a deductive argument that renders the argument invalid, while an informal fallacy originates in an error in reasoning other than an improper logical form.[5] Arguments containing informal fallacies may be formally valid, but still fallacious.[3]
A special case is a mathematical fallacy, an intentionally invalid mathematical proof with a concealed, or subtle, error. Mathematical fallacies are typically crafted and exhibited for educational purposes, usually taking the form of false proofs of obvious contradictions.[6]
Overview
[edit]Fallacies are types of erroneous reasoning that render arguments logically unsound.[7] According to The New Handbook of Cognitive Therapy Techniques, they include "unsubstantiated assertions that are often delivered with a conviction that makes them sound as though they are proven facts".[8] Informal fallacies, in particular, are frequently found in mass media such as television and newspapers.[9] Understanding fallacies may allow one to recognize them in either one's own or others' writing. Avoiding fallacies may help improve one's ability to produce sound arguments.[10]
It can be difficult to evaluate whether an argument is fallacious, as arguments exist along a continuum of soundness and an argument that has several stages or parts might have some sound sections and some fallacious ones.[11] Moreover, whether a specific argument is fallacious often depends on the content rather than the form of the argument. An example is a probabilistically valid instance of the formally invalid argument form of denying the antecedent or affirming the consequent.[12] Thus, "fallacious arguments usually have the deceptive appearance of being good arguments,[13] because for most fallacious instances of an argument form, a similar but non-fallacious instance can be found". Evaluating an instance of an argument as fallacious is therefore often a matter of evaluating the context of the argument.
Recognizing fallacies in everyday arguments may be difficult since arguments are often embedded in rhetorical patterns that obscure the logical connections between statements. Informal fallacies may also exploit the emotional, intellectual, or psychological weaknesses of the audience. Recognizing fallacies can develop reasoning skills to expose the weaker links between premises and conclusions to better discern between what appears to be true and what is true.
Argumentation theory provides a different approach to understanding and classifying fallacies. In the pragma-dialectical theory, for instance, an argument is regarded as an interactive protocol between individuals who attempt to resolve their disagreement on the merits of a case.[14] The protocol consists of normative rules of interaction, and violations of these rules are considered fallacies because they frustrate the attempt at resolving the disagreement.
Fallacies are used in place of valid reasoning to communicate a point with the intention to persuade. Examples in the mass media today include but are not limited to propaganda, advertisements, politics, newspaper editorials, and opinion-based news shows.[15]
Systems of classification
[edit]Fallacies are generally classified strictly by either their structure or their content, such as by classifying them as formal fallacies or informal fallacies, respectively. The classification of informal fallacies may be subdivided into categories such as linguistic, relevance through omission, relevance through intrusion, and relevance through presumption.[16] Alternatively, fallacies may be classified by the process by which they occur, such as material fallacies (content), verbal fallacies (linguistic), and formal fallacies (error in inference). In turn, material fallacies may be placed into the more general category of informal fallacies. Verbal fallacies may be placed in either formal or informal classifications: Compare equivocation, which is a word- or phrase-based ambiguity, to the fallacy of composition, which is premise- and inference-based ambiguity.[17]
Greek logic
[edit]The Greek philosopher Aristotle (384–322 BC) was the first to systematize logical errors into a list to make it easier to refute an opponent's thesis and thus win an argument.[18]: 2 Aristotle's Sophistical Refutations (De Sophisticis Elenchis) identifies thirteen fallacies. He divided them up into two major types: linguistic fallacies and non-linguistic fallacies, some of which depend on language and others that do not.[19][20] These fallacies are called verbal fallacies and material fallacies, respectively. A material fallacy is an error in what the arguer is talking about, while a verbal fallacy is an error in how the arguer is talking. Verbal fallacies are those in which a conclusion is obtained by improper or ambiguous use of words.[21] An example of a language dependent fallacy is given as a debate as to who in humanity are learners: the wise or the ignorant.[18]: 3 A language-independent fallacy is, for example:
- "Coriscus is different from Socrates."
- "Socrates is a man."
- "Therefore, Coriscus is different from a man."[18]: 4
Indian logic
[edit]Indian logicians took great pains to identify fallacies in arguments. An influential collection of texts on logic and reason, the Nyāya Sūtras, attributed to Aksapada Gautama, variously estimated to have been composed between the 6th century BCE and the 2nd century CE, lists in its theory of inference five such reasons used in an argument that was further developed by later logicians.[22][23][24]
- Asiddha: It is the unproved reason that results in this fallacy. [Paksadharmata]
- Savyabhichara: This is the fallacy of irregular reason.
- Satpratipaksa: Here the reason is contradicted by another reason. If both have equal force, then nothing follows. 'Sound is eternal, because it is audible', and 'Sound is non-eternal, because it is produced'. Here 'audible' is counterbalanced by 'produced' and both are of equal force.
- Badhita: When another proof (as by perception) definitely contradicts and disproves the middle term (reason). 'Fire is cold because it is a substance'.
- Viruddha: Instead of proving something it is proving the opposite. 'Sound is eternal because it is produced'.
Whately's grouping
[edit]English scholar and theologian Richard Whately (1787–1863) defines a fallacy broadly as, "any argument, or apparent argument, which professes to be decisive of the matter at hand, while in reality it is not".[18]: 8
Whately divided fallacies into two groups: logical and material. According to Whately, logical fallacies are arguments where the conclusion does not follow from the premises. Material fallacies are not logical errors because the conclusion follows from the premises. He then divided the logical group into two groups: purely logical and semi-logical. The semi-logical group included all of Aristotle's sophisms except ignoratio elenchi, petitio principii, and non causa pro causa, which are in the material group.[25]
Other systems of classification
[edit]Other famous methods of classifying fallacies are those of Francis Bacon and J. S. Mill. Bacon (Novum Organum, Aph. 33, 38 sqq.) divided fallacies into four Idola (Idols, i.e. False Appearances), which summarize the various kinds of mistakes to which the human intellect is prone. J. S. Mill discussed the subject in book five of his Logic, and Jeremy Bentham's Book of Fallacies (1824) contains valuable remarks.
Formal fallacy
[edit]A formal fallacy, deductive fallacy, logical fallacy or non sequitur (Latin for "it does not follow") is a flaw in the structure of a deductive argument that renders the argument invalid. The flaw can be expressed in the standard system of logic.[1] Such an argument is always considered to be wrong. The presence of the formal fallacy does not imply anything about the argument's premises or its conclusion. Both may actually be true or may even be more probable as a result of the argument, but the deductive argument is still invalid because the conclusion does not follow from the premises in the manner described.
Even non-deductive arguments can be said to be fallacious: for example, an inductive argument that incorrectly applies principles of probability or causality. But "since deductive arguments depend on formal properties and inductive arguments don't, formal fallacies apply only to deductive arguments".[5]
A logical form such as "A and B" is independent of any particular conjunction of meaningful propositions. Logical form alone can guarantee that, given true premises, a true conclusion must follow. However, formal logic makes no such guarantee if any premise is false; the conclusion can be either true or false. Any formal error or logical fallacy similarly invalidates the deductive guarantee. Both the argument and all its premises must be true for a conclusion to be true.
The term non sequitur denotes a general formal fallacy, often meaning one that does not belong to any named subclass of formal fallacies, like affirming the consequent.
Common examples
[edit]Ecological fallacy
[edit]An ecological fallacy is committed when one draws an inference from data based on the premise that qualities observed for groups necessarily hold for individuals; for example, "if countries with more Protestants tend to have higher suicide rates, then Protestants must be more likely to commit suicide".[26]
Observational interpretation fallacy
[edit]The observational interpretation fallacy is a cognitive bias that occurs exclusively in the medical field, leading to the mistaken interpretation of observed associations as causal relationships, negatively impacting medical guidelines, clinical decisions, and healthcare practices, potentially compromising patient safety.[27]
Fallacy fork
[edit]Maarten Boudry[28] and others[29] have argued that formal, deductive fallacies rarely occur in real life and that arguments that would be fallacious in formally deductive terms are not necessarily so when context and prior probabilities are taken into account, thus making the argument defeasible and/or inductive. Boudry coined the term fallacy fork.[28] For a given fallacy, one must either characterize it by means of a deductive argumentation scheme, which rarely applies (the first prong of the fork), or one must relax definitions and add nuance to take the actual intent and context of the argument into account (the other prong of the fork).[28] To argue, for example, that one became nauseated after eating a mushroom because the mushroom was poisonous could be an example of the post hoc ergo propter hoc fallacy.[28]
Informal fallacy
[edit]In contrast to a formal fallacy, an informal fallacy originates from a reasoning error other than a flaw in the logical form of the argument.[5] A deductive argument containing an informal fallacy may be formally valid,[3] but still remain rationally unpersuasive. Nevertheless, informal fallacies apply to both deductive and non-deductive arguments.
Though the form of the argument may be relevant, fallacies of this type are "types of mistakes in reasoning that arise from the mishandling of the content of the propositions constituting the argument".[30]
Faulty generalization
[edit]A special subclass of the informal fallacies is the set of faulty generalizations, also known as inductive fallacies. Here, the most important issue concerns inductive strength or methodology (for example, statistical inference). In the absence of sufficient evidence, drawing conclusions based on induction is unwarranted and fallacious. With the backing of sufficient amounts of the right type of empirical evidence, however, the conclusions may become warranted and convincing (at which point the arguments are no longer considered fallacious).[31]
Hasty generalization
[edit]Hasty generalization is described as making assumptions about a whole group or range of cases based on a sample that is inadequate (usually because it is atypical or just too small). Stereotypes about people ("frat boys are drunkards", "grad students are nerdy", "women don't enjoy sports", etc.) are common examples of the principle.
Hasty generalization often follows a pattern such as:
- X is true for A.
- X is true for B.
- Therefore, X is true for C, D, etc.
While never a valid logical deduction, if such an inference can be made on statistical grounds, it may nonetheless be convincing. This is because with enough empirical evidence, the generalization is no longer a hasty one.
Relevance fallacy
[edit]The fallacies of relevance are a broad class of informal fallacies, generically represented by missing the point: presenting an argument that may be sound but fails to address the issue in question.
Argument from silence
[edit]An argument from silence is a faulty conclusion that is drawn based on the absence of evidence rather than on the presence of evidence.
Examples of informal fallacies
[edit]Post hoc (false cause)
[edit]The post hoc fallacy assumes that because B comes after A, A caused B. It gets its name from the Latin phrase "post hoc, ergo propter hoc", which translates as "after this, therefore because of this".
Sometimes one event really does cause another one that comes later—for example, if one registers for a class and their name later appears on the roll, it's true that the first event caused the one that came later. But sometimes two events that seem related in time are not really related as cause and event. That is, temporal correlation does not necessarily entail causation. For example, if one eats a sandwich and then gets food poisoning, that does not necessarily mean the sandwich caused the food poisoning. Something else eaten earlier might have caused the food poisoning.
Slippery slope
[edit]For an argument to be a slippery slope type of argument, it must meet the requirements of that argumentation scheme. A slippery slope argument originates from a conversation or debate in which two actors take turns. It usually originates from one actor giving advice on a decision or act. Along the way, the actor must make additional choices on similar matters through which the actor enters the ‘grey area’ of the slippery slope. At this point, the actor potentially loses control over the direction of the arguments, thus leading to a ‘fatal’ outcome.[32]
Such an argument is built up according to the following argumentation scheme: initial premise, sequential premise, indeterminacy premise, control premise, loss of control premise, catastrophic outcome premise, and conclusion. Slippery slope arguments may be defeated by asking critical questions or giving counterarguments.[33]
There are several reasons for a slippery slope to be fallacious: for example, the argument is going too far into the future, it is a too complex argument whose structure is hard to identify, or the argument makes emotional appeals.[34]
It may be that a slippery slope is not necessarily fallacious if context is taken into account and there is an effort to assess plausibility.[35]
False analogy
[edit]Informally known as the "apples and oranges" fallacy, a false analogy uses unsound comparisons.[36]
Straw man fallacy
[edit]The straw man fallacy refers to the refutation of a standpoint in an argument that was never proposed. The fallacy usually occurs in the presentation of an opponent's standpoint as more extreme, distorted, or simplistic than it actually is. Compared to criticizing the opponent's actual standpoint, this allows the arguer to offer a seeming refutation of what is, however, not the actual standpoint.[37] Such an argument involves two arguers, with one criticizing the other's perspective.[38] The reason for the straw man argument to be fallacious originates from the problem of how to deal with natural discourse. The opponent's argument is not reflected by the arguments that are proposed by the speaker.[39]
Measurement fallacy
[edit]Some of the fallacies described above may be committed in the context of measurement. Where mathematical fallacies are subtle mistakes in reasoning leading to invalid mathematical proofs, measurement fallacies are unwarranted inferential leaps involved in the extrapolation of raw data to a measurement-based value claim. The ancient Greek Sophist Protagoras was one of the first thinkers to propose that humans can generate reliable measurements through his "human-measure" principle and the practice of dissoi logoi (arguing multiple sides of an issue).[40][41] This history helps explain why measurement fallacies are informed by informal logic and argumentation theory.
Knowledge value measurement fallacy
[edit]The increasing availability and circulation of big data are driving a proliferation of new metrics for scholarly authority,[42][43] and there is lively discussion regarding the relative usefulness of such metrics for measuring the value of knowledge production in the context of an "information tsunami".[44]
For example, anchoring fallacies can occur when unwarranted weight is given to data generated by metrics that the arguers themselves acknowledge are flawed. For example, the limitations of the journal impact factor (JIF) are well documented,[45] and even JIF pioneer Eugene Garfield notes that, "while citation data create new tools for analyses of research performance, it should be stressed that they supplement rather than replace other quantitative and qualitative indicators".[46] To the extent that arguers jettison the acknowledged limitations of JIF-generated data in evaluative judgments or leave behind Garfield's "supplement rather than replace" caveat, they commit anchoring fallacies.
The observational interpretation fallacy is the cognitive bias where association identified in observational studies are misinterpreted as causal relationships.
A naturalistic fallacy can occur, for example, in the case of sheer quantity metrics based on the premise "more is better"[44] or, in the case of developmental assessment in the field of psychology, "higher is better".[47]
A false analogy occurs when claims are supported by unsound comparisons between data points. For example, the Scopus and Web of Science bibliographic databases have difficulty distinguishing between citations of scholarly work that are arms-length endorsements, ceremonial citations, or negative citations (indicating the citing author withholds endorsement of the cited work).[42] Hence, measurement-based value claims premised on the uniform quality of all citations may be questioned on false analogy grounds.
As another example, consider the Faculty Scholarly Productivity Index of Academic Analytics. This tool purports to measure overall faculty productivity, yet it does not capture data based on citations in books. This creates a possibility that low productivity measurements using the tool commit argument from silence fallacies, to the extent that such measurements are supported by the absence of book citation data.
Ecological fallacies can be committed when one measures the scholarly productivity of a sub-group of individuals (e.g. "Puerto Rican" faculty) via reference to aggregate data about a larger and different group (e.g., "Hispanic" faculty).[48]
Intentional fallacy
[edit]Sometimes a speaker or writer uses a fallacy intentionally. In any context, including academic debate, a conversation among friends, political discourse, advertising, or comedic purposes, the arguer may use fallacious reasoning to try to persuade the listener or reader, by means other than offering relevant evidence, that the conclusion is true.
Examples of this include the speaker or writer:[49]
- Diverting the argument to unrelated issues with a red herring (Ignoratio elenchi)
- Insulting someone's character (argumentum ad hominem)
- Assuming the conclusion of an argument, a kind of circular reasoning, also called "begging the question" (petitio principii)
- Making jumps in logic (non sequitur)
- Identifying a false cause and effect (post hoc ergo propter hoc)
- Asserting that everyone agrees (argumentum ad populum, bandwagoning)
- Creating a false dilemma (either-or fallacy) in which the situation is oversimplified, also called false dichotomy
- Selectively using facts (card stacking)
- Making false or misleading comparisons (false equivalence or false analogy)
- Generalizing quickly and sloppily (hasty generalization) (secundum quid)
- Using an argument's connections to other concepts or people to support or refute it, also called "guilt by association" (association fallacy)
- Claiming that a lack of proof counts as proof (appeal to ignorance)
In humor, errors of reasoning are used for comical purposes. Groucho Marx used fallacies of amphiboly, for instance, to make ironic statements; Gary Larson and Scott Adams employed fallacious reasoning in many of their cartoons. Wes Boyer and Samuel Stoddard have written a humorous essay teaching students how to be persuasive by means of a whole host of informal and formal fallacies.[50]
When someone uses logical fallacies intentionally to mislead in academic, political, or other high-stakes contexts, the breach of trust calls into question the authority and intellectual integrity of that person.[51]
Assessment: pragmatic theory
[edit]According to the pragmatic theory,[52] a fallacy can be either a heuristic error or a ploy used intentionally to unfairly win an argument. There are always two parties to an argument containing a fallacy: the perpetrator and the intended victim.
The dialogue framework required to support the pragmatic theory of fallacy is built on the presumption that argumentative dialogue has both an adversarial component and a collaborative component. A dialogue has individual goals for each participant as well as shared goals that apply to all participants. A fallacy of the second kind is seen as more than simply a violation of the rule of reasonable dialogue. It is also a deceptive tactic of argumentation based on sleight-of-hand. Aristotle explicitly compared contentious reasoning to unfair fighting in athletic contests. But the roots of the pragmatic theory go back even further in history, to the Sophists. The pragmatic theory finds its roots in the Aristotelian conception of a fallacy as a sophistical refutation but also supports the view that many of the types of arguments traditionally labeled as fallacies are in fact reasonable techniques of argumentation that can be used, in many cases, to support legitimate goals of dialogue. Hence, under the pragmatic approach, each case needs to be analyzed individually to determine whether the argument is fallacious or reasonable.
See also
[edit]- List of cognitive biases
- List of fallacies
- List of memory biases
- List of paradoxes – List of statements that appear to contradict themselves
Concepts
- Argument map – Visual representation of the structure of an argument
- Argumentation theory – Academic field of logic and rhetoric
- Cognitive bias – Systematic pattern of deviation from norm or rationality in judgment
- Cognitive bias mitigation – Reduction of the negative effects of cognitive biases
- Critical thinking – Analysis of facts to form a judgment
- False statement – Statement contradicted by facts and reality
- Inference objection – Reason arguing against a premise, argument, or conclusion; expression of disagreement
- Inquiry – Any process that has the aim of augmenting knowledge, resolving doubt, or solving a problem
- Jumping to conclusions – Psychological term
- Lies, damned lies, and statistics – Phrase criticising misuse of statistics
- Paradox – Logically self-contradictory statement
- Rationalism – Epistemological view centered on reason
- Sophist – Teachers of 5th century BC Greece
- Soundness – Term in logic and deductive reasoning
- Truth – Being in accord with fact or reality
- Validity – Argument whose conclusion must be true if its premises are
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- ^ Shewan, Edward (2003). "Soundness of Argument". Applications of Grammar: Principles of Effective Communication (2nd ed.). Christian Liberty Press. ISBN 978-1-930367-28-9. Retrieved February 22, 2016.
- ^ Boyer, Web; Stoddard, Samuel. "How to Be Persuasive". Rink Works. Archived from the original on July 27, 2018. Retrieved December 5, 2012.
- ^ Habick, Timothy, and Linda Cook. (2018) AICPA Test Development Fairness Guidelines. Association of International Certified Public Accounts, Ewing, NJ.[page needed]
- ^ Walton, Douglas N. (1995). A Pragmatic Theory of Fallacy. Tuscaloosa: University of Alabama Press. p. 324. ISBN 978-0817307981.
Further reading
[edit]- C. L. Hamblin, Fallacies, Methuen London, 1970. reprinted by Vale Press in 1998. ISBN 0916475247.
- Hans V. Hansen; Robert C. Pinto (1995). Fallacies: classical and contemporary readings. Penn State Press. ISBN 978-0271014173.
- Frans van Eemeren; Bart Garssen; Bert Meuffels (2009). Fallacies and Judgments of Reasonableness: Empirical Research Concerning the Pragma-Dialectical Discussion. Springer. ISBN 978-9048126132.
- Douglas N. Walton, Informal logic: A handbook for critical argumentation. Cambridge University Press, 1989. [ISBN missing]
- Douglas, Walton (1987). Informal Fallacies. Amsterdam: John Benjamins. [ISBN missing]
- Walton, Douglas (1995). A Pragmatic Theory of Fallacy. Tuscaloosa: University of Alabama Press. [ISBN missing]
- Walton, Douglas (2010). "Why Fallacies Appear to Be Better Arguments than They Are". Informal Logic. 30 (2): 159–184. doi:10.22329/il.v30i2.2868.
- John Woods (2004). The death of argument: fallacies in agent based reasoning. Springer. ISBN 978-1402026638.
- Woods, John (2013). Errors of Reasoning: Naturalizing the Logic of Inference. London: College Publications. ISBN 978-1848901148
- Fearnside, W. Ward and William B. Holther, Fallacy: The Counterfeit of Argument, 1959. [ISBN missing]
- Vincent F. Hendricks, Thought 2 Talk: A Crash Course in Reflection and Expression, New York: Automatic Press / VIP, 2005, ISBN 8799101378
- D. H. Fischer, Historians' Fallacies: Toward a Logic of Historical Thought, Harper Torchbooks, 1970. [ISBN missing]
- Warburton Nigel, Thinking from A to Z, Routledge 1998. [ISBN missing]
- Sagan, Carl, "The Demon-Haunted World: Science As a Candle in the Dark". Ballantine Books, 1997 ISBN 0345409469, 480 pgs. 1996 hardback edition: Random House, ISBN 039453512X, xv+457 pages plus addenda insert (some printings). Ch. 12.
- Robert H. Thouless and C. R. Thouless, Straight and Crooked Thinking, Hodder Education, 2011, ISBN 978-144411718-9
Historical texts
[edit]- Aristotle, On Sophistical Refutations, De Sophistici Elenchi. library.adelaide.edu.au
- William of Ockham, Summa of Logic (c. 1323) Part III.4.
- John Buridan, Summulae de dialectica Book VII.
- Francis Bacon, the doctrine of the idols in Novum Organum Scientiarum, Aphorisms concerning The Interpretation of Nature and the Kingdom of Man, xxiii ff Archived 2020-02-14 at the Wayback Machine. fly.hiwaay.net
- Arthur Schopenhauer, The Art of Controversy | Die Kunst, Recht zu behalten – The Art Of Controversy (bilingual), (also known as "Schopenhauers 38 stratagems"). gutenberg.org
- John Stuart Mill, A System of Logic – Raciocinative and Inductive. Book 5, Chapter 7, Fallacies of Confusion. la.utexas.edu
External links
[edit]- Hansen, Hans. "Fallacies". In Zalta, Edward N. (ed.). Stanford Encyclopedia of Philosophy.
- Zalta, Edward N. (ed.). "Informal logic". Stanford Encyclopedia of Philosophy.
- Fieser, James; Dowden, Bradley (eds.). "Fallacy". Internet Encyclopedia of Philosophy. ISSN 2161-0002. OCLC 37741658.
- Fallacy at PhilPapers
- Humbug! The skeptic's field guide to spotting fallacies in thinking – textbook on fallacies. scribd.com
- List of fallacies with clear examples, infidels.org
- Interactive Syllogistic Machine A web based syllogistic machine for exploring fallacies, figures, and modes of syllogisms.
- Logical Fallacies and the Art of Debate, csun.edu
- Stephen Downes Guide to the Logical Fallacies, onegoodmove.org
- Explain fallacies, what they are and how to avoid them
- Fallacy Files
- Chisholm, Hugh, ed. (1911). . Encyclopædia Britannica. Vol. 10 (11th ed.). Cambridge University Press. pp. 153–154.
Fallacy
View on GrokipediaIntroduction
Definition and Scope
A fallacy is a flaw in the structure or content of an argument that renders it invalid or unsound.[8] In deductive reasoning, where the conclusion must necessarily follow from the premises if the argument is valid, a fallacy occurs when the logical form fails to guarantee the truth of the conclusion, making the argument invalid.[9] In inductive reasoning, which aims for probable conclusions based on premises, a fallacy arises when the premises do not sufficiently support the conclusion's likelihood, resulting in a weak or unsound argument.[9] The term "fallacy" originates from the Latin fallacia, meaning "deception" or "deceit," derived from fallax ("deceptive").[10] This etymological root reflects the deceptive nature of fallacious arguments, which often appear persuasive but fail under scrutiny, a sense that entered English in the late 15th century and extended to invalid logic by the 1550s.[10] Fallacies encompass a broad scope across disciplines, including formal logic where they manifest as errors in syllogistic structures, as well as informal debates, rhetoric, scientific inquiry, and legal argumentation.[8] In these contexts, fallacies undermine the pursuit of truth by introducing invalid inferences or irrelevant considerations, and they impair persuasion by eroding the argument's credibility.[11] They are distinguished primarily as errors of form, which violate structural rules regardless of content, versus errors of content, which involve issues of relevance, evidence, or ambiguity.[8] This basic distinction underpins the broader categorization into formal and informal fallacies.[8]Historical Significance
The study of fallacies originated in ancient philosophy, with Aristotle providing the foundational systematic analysis in his Sophistical Refutations (circa 350 BCE), where he identified 13 types of fallacious refutations employed by sophists, including linguistic deceptions such as equivocation, in which a word's multiple meanings lead to misleading arguments.[8] Aristotle classified these into language-dependent and non-language-dependent categories, emphasizing their role in apparent rather than genuine dialectical contradictions, thereby establishing fallacy detection as a tool for rigorous argumentation.[8] Parallel developments occurred in ancient India, where the Nyaya Sutras (circa 200 BCE) recognized inferential errors known as hetvabhasa ("illusory reason"), which appear as valid grounds for inference but fail under scrutiny, encompassing issues like contradictory or unproven reasons.[12] This framework, expanded in later Nyaya texts and echoed in Buddhist logic through works like Dignaga's analyses of flawed syllogisms, highlighted fallacies in debate (vada) to ensure epistemological validity, influencing Eastern traditions of logical disputation.[13] During the medieval and Renaissance periods, scholastic thinkers integrated Aristotelian fallacies into Christian theology, with Thomas Aquinas adapting them in his commentaries on Aristotle's Topics and Sophistical Refutations to critique errors in theological debates, such as equivocations in scriptural interpretation.[14] Aquinas's synthesis in works like the Summa Theologica emphasized fallacies' role in avoiding sophistical traps during disputations, embedding them within the scholastic method to harmonize faith and reason.[14] In the early modern period, Francis Bacon advanced the study in his Novum Organum (1620) by identifying "idols of the mind"—systematic biases and errors in human reasoning that distort perception and judgment, akin to informal fallacies.[8] Similarly, Antoine Arnauld and Pierre Nicole's Port-Royal Logic (1662) provided a comprehensive treatment of fallacies, classifying them into errors of diction, reasoning, and method, influencing subsequent rhetorical and logical traditions.[8] The 19th and 20th centuries marked a shift toward informal and material fallacies, with Richard Whately's Elements of Logic (1828) introducing the distinction between formal and material fallacies, where the latter depend on content rather than structure, such as accidents or ignorance of refutation.[8] Post-1950s, informal logic gained prominence through Irving Copi's Introduction to Logic (1961 onward), which cataloged 18 common informal fallacies to address everyday reasoning errors beyond syllogistic forms.[8] In the modern era, fallacy studies have influenced critical thinking education, where curricula routinely incorporate fallacy identification to foster analytical skills in students.[8] This extends to AI ethics, with natural language processing research in the 2020s developing models to detect fallacies in text, such as using large language models for pattern-based identification of argumentative flaws.[15] Emerging digital-age fallacies, like the neutrality fallacy in algorithmic bias—where assumptions of impartiality mask discriminatory outcomes in AI systems—highlight ongoing evolutions, though scholarly coverage remains nascent compared to classical analyses.[16]Classification Systems
Classical Systems
In classical Greek logic, Aristotle established a foundational classification of fallacies in his Sophistical Refutations, dividing them into two primary groups: language-based fallacies and non-language-based fallacies. Language-based fallacies arise from linguistic ambiguities, such as equivocation, where a term shifts meaning within an argument, leading to apparent but invalid conclusions. Non-language-based fallacies include ignoratio elenchi (ignorance of refutation), which involves irrelevant responses that miss the point of the dispute despite superficial relevance, and secundum quid, which improperly generalizes from qualified to unqualified statements, such as arguing that exercise is always beneficial without considering excess.[11][8] In Indian logic, the Nyaya school systematized fallacies under the category of hetvabhasa, or apparent reasons that undermine inference, enumerating five main types with various subtypes focused on defects in the middle term of syllogisms. Key among these is savyabhicara (irregular cause), where the reason fails to consistently imply the conclusion, subdivided into sadharana (too broad), asadharana (too narrow), and anupasanhari (unaccompanied); for example, claiming "the mountain has fire because it smokes," but smoke also arises from non-fire sources like moisture. Another central type is asiddha (unproved middle), encompassing unestablished premises, such as ashraya asiddha (doubtful locus) or svarupa asiddha (doubtful nature of the reason), where the middle term's existence or relation is not proven. These classifications drew influence from and responded to earlier Buddhist logician Dignaga's works in the 5th century CE, such as his Pramanasamuccaya, where he exemplified hetvabhasa through cases of contradictory reasons (viruddha, e.g., "sound is eternal because it is non-eternal") and unproved ones, refining Nyaya's debate-oriented framework.[17][18] An early modern refinement came with Richard Whately's Elements of Logic (1828), which shifted the focus by grouping fallacies into formal (violations of syllogistic rules, such as undistributed middle) and material (content-dependent errors, including accident and ignorance of elenchus). This binary emphasized procedural errors in deduction versus substantive flaws, influencing Victorian-era logic textbooks like those by Augustus De Morgan and John Stuart Mill by providing a clearer pedagogical structure for teaching argumentation.[8] Comparatively, these classical systems—Aristotelian, Nyaya, and Whatelyan—centered on dialectical refutation in adversarial contexts, identifying arguments that seem persuasive in debate but fail to conclusively oppose an interlocutor, in contrast to modern classifications that prioritize deductive validity and truth preservation through formal semantics.[11][17]Modern and Alternative Systems
In the mid-20th century, Irving M. Copi's Introduction to Logic (1953) marked a significant expansion in fallacy classification by detailing around 20 informal fallacies, building on earlier works to encompass a broader range of errors in natural language arguments beyond formal syllogistic flaws.[19] This approach emphasized practical identification in everyday discourse, categorizing fallacies by themes such as relevance, ambiguity, and presumption to aid clearer reasoning.[20] Complementing this, Charles L. Hamblin's Fallacies (1970) critiqued the persistent dominance of Aristotelian classifications, highlighting their limitations in addressing modern dialectical contexts and calling for a renewed focus on fallacies as violations within interactive reasoning processes.[8] Psychological classifications gained prominence in the late 20th and early 21st centuries by integrating fallacies with cognitive science, particularly through Daniel Kahneman's Thinking, Fast and Slow (2011), which attributes many fallacious inferences to "System 1" processes—rapid, intuitive judgments prone to biases like anchoring and availability heuristics that mimic traditional informal fallacies.[21] This framework reframes fallacies not merely as logical errors but as manifestations of dual-process cognition, where automatic thinking overrides deliberate analysis.[22] Subsequent research has extended this to empirical studies of cognitive processes involved in reasoning and fallacy detection. Alternative systems in the late 20th century shifted toward contextual and dialogic models, as seen in Douglas Walton's work on dialogue-based fallacies, exemplified in his 1995 analysis of commitment shifts in argumentative exchanges, where fallacies arise from inappropriate transitions between persuasion, inquiry, or negotiation dialogues.[23] Similarly, the pragma-dialectical approach, developed by Frans H. van Eemeren and colleagues in the 2000s, reconceptualizes fallacies as rule violations in critical discussions aimed at resolving differences of opinion, emphasizing stages like confrontation, opening, argumentation, and conclusion to evaluate argumentative soundness.[24] These models prioritize the pragmatic and social dimensions of discourse over static lists.[25] Modern non-Western developments revive ancient traditions for contemporary applications, such as in Indian logic where Nyaya principles are adapted for AI argumentation systems, leveraging its structured inference (anumana) and debate typologies to enhance computational models of valid reasoning and refutation.[26] In China, extensions of Mohist logic inform computational frameworks, drawing on its canonical analyses of analogy, disjunction, and relational terms to support formal verification in digital logic and automated theorem proving.[27] Criticisms of these proliferations highlight risks of over-classification, where expansive lists create redundancies and obscure core patterns, prompting calls in the 2020s for unified frameworks tailored to digital rhetoric, such as those integrating AI detection to streamline analysis amid online misinformation.[28] This push addresses how fragmented schemas fail to capture hybrid errors in social media dialogues, advocating integrative models that balance breadth with conceptual clarity.[8]Formal Fallacies
Core Characteristics
Formal fallacies represent structural defects in deductive arguments, where the logical form itself ensures that the conclusion does not necessarily follow from the premises, irrespective of whether those premises are true.[8] In such cases, the argument's invalidity is guaranteed by its syntactic structure alone, making it a failure of deductive validity.[11] For instance, the fallacy of denying the antecedent occurs in arguments of the form: if P then Q; not P; therefore not Q, where the conclusion does not logically follow even if the premises hold.[8] Key characteristics of formal fallacies include their grounding in propositional or syllogistic logic systems, where errors can be systematically detected using analytical tools such as truth tables for propositional arguments or Venn diagrams for categorical syllogisms.[8] Truth tables evaluate all possible truth-value combinations of premises and conclusions to reveal invalidity, while Venn diagrams visually represent class relationships to identify flaws in syllogistic forms. Unlike inductive arguments, which may be merely weak or probabilistic, formal fallacies in deductive reasoning are categorically invalid, offering no support for the conclusion.[11] The logical foundations of formal fallacies trace back to Aristotelian syllogisms, which emphasized the validity of argument forms in categorical propositions, and extend into modern symbolic logic.[8] Gottlob Frege's 1879 Begriffsschrift advanced this by formalizing quantifiers and predicate structures, enabling precise identification of form-based errors, including those involving quantifier scope in predicate logic.[29] In contrast to informal fallacies, which rely on contextual or content-specific flaws, formal fallacies serve as paradigm examples of structural invalidity detectable through logical form alone.[11]Key Examples
A classic formal fallacy is affirming the consequent, which occurs in arguments of the form: if P then Q; Q; therefore P. This structure is invalid because Q could be true for reasons other than P. For example: "If it rains, the ground is wet; the ground is wet; therefore, it rained." This overlooks other causes of wetness, such as sprinklers, demonstrating how the form fails deductively regardless of content.[8] Another example is the illicit major in categorical syllogisms, where the major premise has an undistributed major term that is then distributed in the conclusion. Consider: "All dogs are mammals; all mammals are animals; therefore, all animals are dogs." Here, "animals" is undistributed in the major premise (not all animals are referenced) but distributed in the conclusion, invalidating the inference by violating syllogistic rules.[11] Detailed breakdowns of logical structures reveal fallacies like the undistributed middle in categorical syllogisms, where the middle term fails to be distributed in at least one premise, preventing a proper connection between the subject and predicate classes. Consider the following invalid syllogism:All A are B.In this form, "B" (the middle term) is undistributed in both premises, meaning neither statement encompasses the entire class of B, so no valid overlap between A and C can be established; a concrete case might be "All philosophers are thinkers; all economists are thinkers; therefore, all philosophers are economists." This refutation highlights how the formal rules of syllogistic inference ensure deductive soundness only when distribution rules are upheld.[30]
All C are B.
Therefore, all A are C.