Fallacies

A fallacy is a kind of error in reasoning. The list of fallacies below contains 231 names of the most common fallacies, and it provides brief explanations and examples of each of them. Fallacious arguments should not be persuasive, but they too often are. Fallacies may be created unintentionally, or they may be created intentionally in order to deceive other people.

The vast majority of the commonly identified fallacies involve arguments, although some involve only explanations, or definitions, or other products of reasoning. Sometimes the term “fallacy” is used even more broadly to indicate any false belief or cause of a false belief. The list below includes some fallacies of these sorts, but most are fallacies that involve kinds of errors made while arguing informally in natural language.

A charge of fallacious reasoning always needs to be justified. The burden of proof is on your shoulders when you claim that someone’s reasoning is fallacious. Even if you do not explicitly give your reasons, it is your responsibility to be able to give them if challenged.

An informal fallacy is fallacious because of both its form and its content. The formal fallacies are fallacious only because of their logical form. Par exemple, the Slippery Slope Fallacy is an informal fallacy that has the following form: Step 1 often leads to step 2. Step 2 often leads to step 3. Step 3 often leads to…until we reach an obviously unacceptable step, so step 1 is not acceptable. That form occurs in both good arguments and fallacious arguments. The quality of an argument of this form depends crucially on the probabilities of going from one step to another. The probabilities involve the argument’s content, not merely its form.

The discussion below that precedes the long alphabetical list of fallacies begins with an account of the ways in which the term “fallacy” is imprecise. Attention then turns to the number of competing and overlapping ways to classify fallacies of argumentation. For pedagogical purposes, researchers in the field of fallacies disagree about the following topics: which name of a fallacy is more helpful to students’ understanding; whether some fallacies should be de-emphasized in favor of others; and which is the best taxonomy of the fallacies. Researchers in the field are also deeply divided about how to define the term “fallacy” itself, how to define certain fallacies, and whether any theory of fallacies at all should be pursued if that theory’s goal is to provide necessary and sufficient conditions for distinguishing between fallacious and non-fallacious reasoning generally. De manière analogue, there is doubt in the field of ethics regarding whether researchers should pursue the goal of providing necessary and sufficient conditions for distinguishing moral actions from immoral ones.

Table des matières
Introduction
Taxonomy of Fallacies
Pedagogy
What is a fallacy?
Other Controversies
Partial List of Fallacies
Références et lectures complémentaires
1. Introduction

The first known systematic study of fallacies was due to Aristotle in his De Sophisticis Elenchis (Sophistical Refutations), an appendix to the Topics. He listed thirteen types. After the Dark Ages, fallacies were again studied systematically in Medieval Europe. This is why so many fallacies have Latin names. The third major period of study of the fallacies began in the later twentieth century due to renewed interest from the disciplines of philosophy, logique, communication studies, rhétorique, psychologie, and artificial intelligence.

The more frequent the error within public discussion and debate the more likely it is to have a name. That is one reason why there is no specific name for the fallacy of subtracting five from thirteen and concluding that the answer is seven, though the error is common.

The term “fallacy” is not a precise term. One reason is that it is ambiguous. It can refer either to (À) a kind of error in an argument, (b) a kind of error in reasoning (including arguments, définitions, explanations, et ainsi de suite), (c) a false belief, ou (d) the cause of any of the previous errors including what are normally referred to as “rhetorical techniques.” Philosophers who are researchers in fallacy theory prefer to emphasize (À), but their lead is often not followed in textbooks and public discussion.

Regarding (d), ill health, being a bigot, being hungry, being stupid, and being hypercritical of our enemies are all sources of error in reasoning, so they could qualify as fallacies of kind (d), but they are not included in the list below. D'autre part, wishful thinking, stereotyping, being superstitious, rationalizing, and having a poor sense of proportion are sources of error and are included in the list below, though they wouldn’t be included in a list devoted only to faulty arguments. Thus there is a certain arbitrariness to what appears in lists such as this. What have been left off the list below are the following persuasive techniques commonly used to influence others and to cause errors in reasoning: apple polishing, using propaganda techniques, ridiculing, being sarcastic, selecting terms with strong negative or positive associations, using innuendo, and weasling. All of the techniques are worth knowing about if one wants to reason well.

In describing the fallacies below, the custom is followed of not distinguishing between a reasoner using a fallacy and the reasoning itself containing the fallacy.

Real arguments are often embedded within a very long discussion. Richard Whately, one of the greatest of the 19th century researchers into informal logic, wisely said, “A very long discussion is one of the most effective veils of Fallacy; …a Fallacy, which when stated barely…would not deceive a child, may deceive half the world if diluted in a quarto volume.”

2. Taxonomy of Fallacies

The importance of understanding the common fallacy labels is that they provide an efficient way to communicate criticisms of someone’s reasoning. Toutefois, there are a variety of ways to label fallacies, and there are a number of competing and overlapping ways to classify fallacies. Par exemple, the fallacies of argumentation can be classified as either formal or informal. A formal fallacy can be detected by examining the logical form of the reasoning, whereas an informal fallacy depends upon the content of the reasoning and possibly the purpose of the reasoning. C'est, informal fallacies are errors of reasoning that cannot easily be expressed in our system of formal logic (such as symbolic, deductive, predicate logic). The list below contains very few formal fallacies. Fallacious arguments also can be classified as deductive or inductive, depending upon whether the fallacious argument is most properly assessed by deductive standards or instead by inductive standards. Deductive standards demand deductive validity, but inductive standards require inductive strength such as making the conclusion more likely. Fallacies can be divided into categories according to the psychological factors that lead people to use them, and they can also be divided into categories according to the epistemological or logical factors that cause the error. In the latter division there are three categories: (1) the reasoning is invalid but is presented as if it were a valid argument, or else it is inductively much weaker than it is presented as being, (2) the argument has an unjustified premise, ou (3) some relevant evidence has been ignored or suppressed. Regarding (2), a premise can be justified or warranted at a time even if we later learn that the premise was false, and it can be justified if we are reasoning about what would have happened even when we know it didn’t happen.

Similar fallacies are often grouped together under a common name intended to bring out how the fallacies are similar. Here are three examples. Fallacies of relevance include fallacies that occur due to reliance on an irrelevant reason. Ad Hominem, Appeal to Pity, and Affirming the Consequent are also fallacies of relevance. Accent, Amphiboly and Equivocation are examples of fallacies of ambiguity. The fallacies of illegitimate presumption include Begging the Question, False Dilemma, No True Scotsman, Complex Question and Suppressed Evidence.

3. Pedagogy

It is commonly claimed that giving a fallacy a name and studying it will help the student identify the fallacy in the future and will steer them away from using the fallacy in their own reasoning. As Steven Pinker says in The Stuff of Thought (p. 129),

If a language provides a label for a complex concept, that could make it easier to think about the concept, because the mind can handle it as a single package when juggling a set of ideas, rather than having to keep each of its components in the air separately. It can also give a concept an additional label in long-term memory, making it more easily retrivable than ineffable concepts or those with more roundabout verbal descriptions.

For pedagogical purposes, researchers in the field of fallacies disagree about the following topics: which name of a fallacy is more helpful to students’ understanding; whether some fallacies should be de-emphasized in favor of others; and which is the best taxonomy of the fallacies. Fallacy theory is criticized by some teachers of informal reasoning for its over-emphasis on poor reasoning rather than good reasoning. Do colleges teach the Calculus by emphasizing all the ways one can make mathematical mistakes? The critics want more emphasis on the forms of good arguments and on the implicit rules that govern proper discussion designed to resolve a difference of opinion. But there has been little systematic study of which emphasis is more successful.

4. What is a fallacy?

Researchers disagree about how to define the very term “fallacy.” Focusing just on fallacies in sense (À) au-dessus de, namely fallacies of argumentation, some researchers define a fallacy as an argument that is deductively invalid or that has very little inductive strength. Because examples of false dilemma, inconsistent premises, and begging the question are valid arguments in this sense, this definition misses some standard fallacies. Other researchers say a fallacy is a mistake in an argument that arises from something other than merely false premises. But the false dilemma fallacy is due to false premises. Still other researchers define a fallacy as an argument that is not good. Good arguments are then defined as those that are deductively valid or inductively strong, and that contain only true, well-established premises, but are not question-begging. A complaint with this definition is that its requirement of truth would improperly lead to calling too much scientific reasoning fallacious; every time a new scientific discovery caused scientists to label a previously well-established claim as false, all the scientists who used that claim as a premise would become fallacious reasoners. This consequence of the definition is acceptable to some researchers but not to others. Because informal reasoning regularly deals with hypothetical reasoning and with premises for which there is great disagreement about whether they are true or false, many researchers would relax the requirement that every premise must be true. One widely accepted definition defines a fallacious argument as one that either is deductively invalid or is inductively very weak or contains an unjustified premise or that ignores relevant evidence that is available and that should be known by the arguer. Enfin, yet another theory of fallacy says a fallacy is a failure to provide adequate proof for a belief, the failure being disguised to make the proof look adequate.

Other researchers recommend characterizing a fallacy as a violation of the norms of good reasoning, the rules of critical discussion, dispute resolution, and adequate communication. The difficulty with this approach is that there is so much disagreement about how to characterize these norms.

De plus,, all the above definitions are often augmented with some remark to the effect that the fallacies are likely to persuade many reasoners. It is notoriously difficult to be very precise about this vague and subjective notion of being likely to persuade, and some researchers in fallacy theory have therefore recommended dropping the notion in favor of “can be used to persuade.”

Some researchers complain that all the above definitions of fallacy are too broad and do not distinguish between mere blunders and actual fallacies, the more serious errors.

Researchers in the field are deeply divided, not only about how to define the term “fallacy” and how to define some of the individual fallacies, but also about whether any general theory of fallacies at all should be pursued if that theory’s goal is to provide necessary and sufficient conditions for distinguishing between fallacious and non-fallacious reasoning generally. De manière analogue, there is doubt in the field of ethics whether researchers should pursue the goal of providing necessary and sufficient conditions for distinguishing moral actions from immoral ones.

5. Other Controversies

How do we defend the claim that an item of reasoning should be labeled as a particular fallacy? A major goal in the field of informal logic is provide some criteria for each fallacy. Schwartz presents the challenge this way:

Fallacy labels have their use. But fallacy-label texts tend not to provide useful criteria for applying the labels. Take the so-called ad verecundiam fallacy, the fallacious appeal to authority. Just when is it committed? Some appeals to authority are fallacious; most are not. A fallacious one meets the following condition: The expertise of the putative authority, or the relevance of that expertise to the point at issue, are in question. But the hard work comes in judging and showing that this condition holds, and that is where the fallacy-label texts leave off. Or rather, when a text goes further, stating clear, precise, broadly applicable criteria for applying fallacy labels, it provides a critical instrument more fundamental than a taxonomy of fallacies and hence to that extent goes beyond the fallacy-label approach. The further it goes in this direction, the less it need to emphasize or event to use fallacy labels. (Schwartz, 232)

The controversy here is the extent to which it is better to teach students what Schwartz calls “the critical instrument” than to teach the fallacy-label approach. Is the fallacy-label approach better for some kinds of fallacies than others? Le cas échéant, which others?

Another controversy involves the relationship between the fields of logic and rhetoric. In the field of rhetoric, the primary goal is to persuade the audience. The audience is not going to be persuaded by an otherwise good argument with true premises unless they believe those premises are true. Philosophers tend to de-emphasize this difference between rhetoric and informal logic, and they concentrate on arguments that should fail to convince the ideally rational reasoner rather than on arguments that are likely not to convince audiences who hold certain background beliefs. Given specific pedagogical goals, how pedagogically effective is this de-emphasis?

Advertising in magazines and on television is designed to achieve visual persuasion. And a hug or the fanning of fumes from freshly baked donuts out onto the sidewalk are occasionally used for visceral persuasion. There is some controversy among researchers in informal logic as to whether the reasoning involved in this nonverbal persuasion can always be assessed properly by the same standards that are used for verbal reasoning.

6. Partial List of Fallacies

Consulting the list below will give a general idea of the kind of error involved in passages to which the fallacy name is applied. Toutefois, simply applying the fallacy name to a passage cannot substitute for a detailed examination of the passage and its context or circumstances because there are many instances of reasoning to which a fallacy name might seem to apply, encore, on further examination, it is found that in these circumstances the reasoning is really not fallacious.

Abusive Ad Hominem
Accent
Accentus
Accident
Ad Baculum
Ad Consequentiam
Ad Crumenum
Ad Hoc Rescue
Ad Hominem
Ad Hominem, Circumstantial
Ad Ignorantiam
Ad Misericordiam
Ad Novitatem
Ad Numerum
Ad Populum
Ad Verecundiam
Affirming the Consequent
Against the Person
All-or-Nothing
Ambiguity
Amphiboly
Anecdotal Evidence
Anthropomorphism
Appeal to Authority
Appeal to Consequence
Appeal to Emotions
Appeal to Force
Appeal to Ignorance
Appeal to Money
Appeal to Past Practice
Appeal to Pity
Appeal to Snobbery
Appeal to the Gallery
Appeal to the Masses
Appeal to the Mob
Appeal to the People
Appeal to the Stick
Appeal to Traditional Wisdom
Appeal to Vanity
Appeal to Unqualified Authority
Argument from Ignorance
Argument from Outrage
Argument from Popularity
Argumentum Ad ….
Argumentum Consensus Gentium
Availability Heuristic
Avoiding the Issue
Avoiding the Question
Bad Seed
Bald Man
Bandwagon
Begging the Question
Beside the Point
Biased Generalizing
Biased Sample
Biased Statistics
Bifurcation
Black-or-White
Caricaturization
Changing the Question
Cherry-Picking
Circular Reasoning
Circumstantial Ad Hominem
Clouding the Issue
Common Belief
Common Cause.
Common Practice
Complex Question
Composition
Confirmation Bias
Confusing an Explanation with an Excuse
Conjunction
Consensus Gentium
Consequence
Contextomy
Converse Accident
Cover-up
Cum Hoc, Ergo Propter Hoc
Curve Fitting
Definist
Denying the Antecedent
Digression
Disregarding Known Science
Distraction
Division
Domino
Double Standard
Either/Or
Equivocation
Etymological
Every and All
Exaggeration
Excluded Middle
False Analogy
False Balance
False Cause
False Dichotomy
False Dilemma
False Equivalence
Far-Fetched Hypothesis
Faulty Comparison
Faulty Generalization
Faulty Motives
Officiel
Four Terms
Gambler’s
Genetic
Group Think
Guilt by Association
Hasty Conclusion
Hasty Generalization
Heap
Hedging
Hooded Man
Hyperbolic Discounting
Hypostatization
Ideology-Driven Argumentation
Ignoratio Elenchi
Ignoring a Common Cause
Ignoring Inconvenient Data
Improper Analogy
Incomplete Evidence
Inconsistency
Inductive Conversion
Insufficient Statistics
Intensional
Invalid Reasoning
Irrelevant Conclusion
Irrelevant Reason
Is-Ought
Jumping to Conclusions
Lack of Proportion
Line-Drawing
Loaded Language
Loaded Question
Logic Chopping
Logical Fallacy
Lying
Maldistributed Middle
Many Questions
Misconditionalization
Misleading Accent
Misleading Vividness
Misplaced Burden of Proof
Misplaced Concreteness
Misrepresentation
Missing the Point
Mob Appeal
Modal
Monte Carlo
Name Calling
Naturalistic
Neglecting a Common Cause
No Middle Ground
No True Scotsman
Non Causa Pro Causa
Non Sequitur
Obscurum per Obscurius
One-Sidedness
Opposition
Outrage, Argument from
Over-Fitting
Overgeneralization
Oversimplification
Past Practice
Pathetic
Peer Pressure
Perfectionist
Persuasive Definition
Petitio Principii
Poisoning the Well
Popularity, Argument from
Post Hoc
Prejudicial Language
Proof Surrogate
Prosecutor’s Fallacy
Prosody
Quantifier Shift
Question Begging
Questionable Analogy
Questionable Cause
Questionable Premise
Quibbling
Quoting out of Context
Rationalization
Red Herring
Refutation by Caricature
Regression
Reification
Reversing Causation
Scapegoating
Scare Tactic
Scope
Secundum Quid
Selective Attention
Self-Fulfilling Prophecy
Self-Selection
Sharpshooter’s
Slanting
Slippery Slope
Small Sample
Smear Tactic
Smokescreen
Sorites
Special Pleading
Specificity
Stacking the Deck
Stereotyping
Straw Man
Style Over Substance
Subjectivist
Superstitious Thinking
Suppressed Evidence
Sweeping Generalization
Syllogistic
Texas Sharpshooter’s
Tokenism
Traditional Wisdom
Tu Quoque
Two Wrongs do not Make a Right
Undistributed Middle
Unfalsifiability
Unrepresentative Sample
Unrepresentative Generalization
Untestability
Vested Interest
Victory by Definition
Willed ignorance
Wishful Thinking
You Too
Abusive Ad Hominem

See Ad Hominem.

Accent

The Accent Fallacy is a fallacy of ambiguity due to the different ways a word or syllable is emphasized or accented. Also called Accentus, Misleading Accent, and Prosody.

Exemple:

A member of Congress is asked by a reporter if she is in favor of the President’s new missile defense system, and she responds, “I’m in favor of a missile defense system that effectively defends America.”

With an emphasis on the word “favor,” her response is likely to be for the President’s missile defense system. With an emphasis, plutôt, on the word “effectively,” her remark is likely to be against the President’s missile defense system. And by using neither emphasis, she can later claim that her response was on either side of the issue. For an example of the Fallacy of Accent involving the accent of a syllable within a single word, consider the word “invalid” in the sentence, “Did you mean the invalid one?” When we accent the first syllable, we are speaking of a sick person, but when we accent the second syllable, we are speaking of an argument failing to meet the deductive standard of being valid. By not supplying the accent, and not supplying additional information to help us disambiguate, then we are committing the Fallacy of Accent.

Accentus

See the Fallacy of Accent.

Accident

We often arrive at a generalization but don’t or can’t list all the exceptions. When we then reason with the generalization as if it has no exceptions, our reasoning contains the Fallacy of Accident. This fallacy is sometimes called the “Fallacy of Sweeping Generalization.”

Exemple:

People should keep their promises, Oui? I loaned Dwayne my knife, and he said he’d return it. Now he is refusing to give it back, but I need it right now to slash up my neighbors who disrespected me.

People should keep their promises, but there are exceptions to this generalization as in this case of the psychopath who wants Dwayne to keep his promise to return the knife.

Ad Baculum

See Scare Tactic and Appeal to Emotions (Peur).

Ad Consequentiam

See Appeal to Consequence.

Ad Crumenum

See Appeal to Money.

Ad Hoc Rescue

Psychologically, it is understandable that you would try to rescue a cherished belief from trouble. When faced with conflicting data, you are likely to mention how the conflict will disappear if some new assumption is taken into account. Toutefois, if there is no good reason to accept this saving assumption other than that it works to save your cherished belief, your rescue is an Ad Hoc Rescue.

Exemple:

Yolanda: If you take four of these tablets of vitamin C every day, you will never get a cold.

Juanita: I tried that last year for several months, and still got a cold.

Yolanda: Did you take the tablets every day?

Juanita: Oui.

Yolanda: Bien, I’ll bet you bought some bad tablets.

The burden of proof is definitely on Yolanda’s shoulders to prove that Juanita’s vitamin C tablets were probably “bad”—that is, not really vitamin C. If Yolanda can’t do so, her attempt to rescue her hypothesis (that vitamin C prevents colds) is simply a dogmatic refusal to face up to the possibility of being wrong.

Ad Hominem

Your reasoning contains this fallacy if you make an irrelevant attack on the arguer and suggest that this attack undermines the argument itself. “Ad Hominem” means “to the person” as in being “directed at the person.”

Exemple:

What she says about Johannes Kepler’s astronomy of the 1600s must be just so much garbage. Do you realize she’s only fifteen years old?

This attack may undermine the young woman’s credibility as a scientific authority, but it does not undermine her reasoning itself because her age is irrelevant to quality of her reasoning. That reasoning should stand or fall on the scientific evidence, not on the arguer’s age or anything else about her personally.

The major difficulty with labeling a piece of reasoning an Ad Hominem Fallacy is deciding whether the personal attack is relevant or irrelevant. Par exemple, attacks on a person for their immoral sexual conduct are irrelevant to the quality of their mathematical reasoning, but they are relevant to arguments promoting the person for a leadership position in a church or mosque.

If the fallacious reasoner points out irrelevant circumstances that the reasoner is in, such as the arguer’s having a vested interest in people accepting the position, then the ad hominem fallacy may be called a Circumstantial Ad Hominem. If the fallacious attack points out some despicable trait of the arguer, it may be called an Abusive Ad Hominem. An Ad hominem that attacks an arguer by attacking the arguer’s associates is called the Fallacy of Guilt by Association. If the fallacy focuses on a complaint about the origin of the arguer’s views, then it is a kind of Genetic Fallacy. If the fallacy is due to claiming the person does not practice what is preached, it is the Tu Quoque Fallacy. Two Wrongs do not Make a Right is also a type of Ad Hominem fallacy.

The intentional use of the ad hominem fallacy is a tactic used by all dictators and authoritarian leaders. If you say something critical of them or their regime, their immediate response is to attack you as unreliable, or as being a puppet of the enemy, or as being a traitor.

Ad Hominem, Circumstantial

See Guilt by Association.

Ad Ignorantiam

See Appeal to Ignorance.

Ad Misericordiam

See Appeal to Emotions.

Ad Novitatem

See Bandwagon.

Ad Numerum

See Appeal to the People.

Ad Populum

See Appeal to the People.

Ad Verecundiam

See Appeal to Authority.

Affirming the Consequent

If you have enough evidence to affirm the consequent of a conditional and then suppose that as a result you have sufficient reason for affirming the antecedent, your reasoning contains the Fallacy of Affirming the Consequent. This formal fallacy is often mistaken for Modus Ponens, which is a valid form of reasoning also using a conditional. A conditional is an if-then statement; the if-part is the antecedent, and the then-part is the consequent. The following argument affirms the consequent that she does speaks Portuguese.

Exemple:

If she’s Brazilian, then she speaks Portuguese. Hé, she does speak Portuguese. Ainsi, she is Brazilian.

If the arguer believes or suggests that the premises definitely establish that she is Brazilian, then the argumentation contains the fallacy. See the Non Sequitur Fallacy for more discussion of this point.

Against the Person

See Ad Hominem.

All-or-Nothing

See Black-or-White Fallacy.

Ambiguity

Any fallacy that turns on ambiguity. See the fallacies of Amphiboly, Accent, and Equivocation. Amphiboly is ambiguity of syntax. Equivocation is ambiguity of semantics. Accent is ambiguity of emphasis.

Amphiboly

This is an error due to taking a grammatically ambiguous phrase in two different ways during the reasoning.

Exemple:

Tests show that the dog is not part wolf, as the owner suspected.

Did the owner suspect the dog was part wolf, or was not part wolf? Who knows? The sentence is ambiguous, and needs to be rewritten to remove the fallacy. Unlike Equivocation, which is due to multiple meanings of a phrase, Amphiboly is due to syntactic ambiguity, c'est, ambiguity caused by multiple ways of understanding the grammar of the phrase.

Anecdotal Evidence

This is fallacious generalizing on the basis of a some story that provides an inadequate sample. If you discount evidence arrived at by systematic search or by testing in favor of a few firsthand stories, then your reasoning contains the fallacy of overemphasizing anecdotal evidence.

Exemple:

Ouais, I’ve read the health warnings on those cigarette packs and I know about all that health research, but my brother smokes, and he says he’s never been sick a day in his life, so I know smoking can’t really hurt you.

Anthropomorphism

This is the error of projecting uniquely human qualities onto something that isn’t human. Usually this occurs with projecting the human qualities onto animals, but when it is done to nonliving things, as in calling the storm cruel, the Pathetic Fallacy is created. There is also, but less commonly, called the Disney Fallacy or the Walt Disney Fallacy.

Exemple:

My dog is wagging his tail and running around me. Donc, he knows that I love him.

The fallacy would be averted if the speaker had said “My dog is wagging his tail and running around me. Donc, he is happy to see me.” Animals are likely to have some human emotions, but not the ability to ascribe knowledge to other beings. Your dog knows where it buried its bone, but not that you also know where the bone is.

Appeal to Authority

You appeal to authority if you back up your reasoning by saying that it is supported by what some authority says on the subject. Most reasoning of this kind is not fallacious, and much of our knowledge properly comes from listening to authorities. Toutefois, appealing to authority as a reason to believe something is fallacious whenever the authority appealed to is not really an authority in this particular subject, when the authority cannot be trusted to tell the truth, when authorities disagree on this subject (except for the occasional lone wolf), when the reasoner misquotes the authority, et ainsi de suite. Although spotting a fallacious appeal to authority often requires some background knowledge about the subject or the authority, in brief it can be said that it is fallacious to accept the words of a supposed authority when we should be suspicious of the authority’s words.

Exemple:

The moon is covered with dust because the president of our neighborhood association said so.

This is a Fallacious Appeal to Authority because, although the president is an authority on many neighborhood matters, you are given no reason to believe the president is an authority on the composition of the moon. It would be better to appeal to some astronomer or geologist. A TV commercial that gives you a testimonial from a famous film star who wears a Wilson watch and that suggests you, aussi, should wear that brand of watch is using a fallacious appeal to authority. The film star is an authority on how to act, not on which watch is best for you.

Appeal to Consequence

Arguing that a belief is false because it implies something you’d rather not believe. Also called Argumentum Ad Consequentiam.

Exemple:

That can’t be Senator Smith there in the videotape going into her apartment. If it were, he’d be a liar about not knowing her. He’s not the kind of man who would lie. He’s a member of my congregation.

Smith may or may not be the person in that videotape, but this kind of arguing should not convince us that it’s someone else in the videotape.

Appeal to Emotions

Your reasoning contains the Fallacy of Appeal to Emotions when someone’s appeal to you to accept their claim is accepted merely because the appeal arouses your feelings of anger, peur, chagrin, amour, outrage, pitié, pride, sexuality, sympathy, relief, et ainsi de suite. Example of appeal to relief from grief:

[The speaker knows he is talking to an aggrieved person whose house is worth much more than $100,000.] You had a great job and didn’t deserve to lose it. I wish I could help somehow. I do have one idea. Now your family needs financial security even more. You need cash. I can help you. Here is a check for $100,000. Just sign this standard sales agreement, and we can skip the realtors and all the headaches they would create at this critical time in your life.

There is nothing wrong with using emotions when you argue, but it’s a mistake to use emotions as the key premises or as tools to downplay relevant information. Regarding the Fallacy of Appeal to Pity, it is proper to pity people who have had misfortunes, but if as the person’s history instructor you accept Max’s claim that he earned an A on the history quiz because he broke his wrist while playing in your college’s last basketball game, then you’ve used the fallacy of appeal to pity.

Appeal to Force

See Scare Tactic.

Appeal to Ignorance

The Fallacy of Appeal to Ignorance comes in two forms: (1) Not knowing that a certain statement is true is taken to be a proof that it is false. (2) Not knowing that a statement is false is taken to be a proof that it is true. The fallacy occurs in cases where absence of evidence is not good enough evidence of absence. The fallacy uses an unjustified attempt to shift the burden of proof. The fallacy is also called “Argument from Ignorance.”

Exemple:

Nobody has ever proved to me there’s a God, so I know there is no God.

This kind of reasoning is generally fallacious. It would be proper reasoning only if the proof attempts were quite thorough, and it were the case that, if the being or object were to exist, then there would be a discoverable proof of this. Another common example of the fallacy involves ignorance of a future event: You people have been complaining about the danger of Xs ever since they were invented, but there’s never been any big problem with Xs, so there’s nothing to worry about.

Appeal to Money

The Fallacy of Appeal to Money uses the error of supposing that, if something costs a great deal of money, then it must be better, or supposing that if someone has a great deal of money, then they’re a better person in some way unrelated to having a great deal of money. Similarly it’s a mistake to suppose that if something is cheap it must be of inferior quality, or to suppose that if someone is poor financially then they’re poor at something unrelated to having money.

Exemple:

He’s rich, so he should be the president of our Parents and Teachers Organization.

Appeal to Past Practice

See Appeal to the People.

Appeal to Pity

See Appeal to Emotions.

Appeal to Snobbery

See Appeal to Emotions.

Appeal to the Gallery

See Appeal to the People.

Appeal to the Mob

See Appeal to the People.

Appeal to the Masses

See Appeal to the People.

Appeal to the People

If you suggest too strongly that someone’s claim or argument is correct simply because it’s what most everyone believes, then your reasoning contains the Fallacy of Appeal to the People. De la même manière, if you suggest too strongly that someone’s claim or argument is mistaken simply because it’s not what most everyone believes, then your reasoning also uses the fallacy. Agreement with popular opinion is not necessarily a reliable sign of truth, and deviation from popular opinion is not necessarily a reliable sign of error, but if you assume it is and do so with enthusiasm, then you are using this fallacy. It is essentially the same as the fallacies of Ad Numerum, Appeal to the Gallery, Appeal to the Masses, Argument from Popularity, Argumentum ad Populum, Common Practice, Mob Appeal, Past Practice, Peer Pressure, and Traditional Wisdom. The “too strongly” mentioned above is important in the description of the fallacy because what most everyone believes is, pour cette raison, somewhat likely to be true, tout bien considéré. Toutefois, the fallacy occurs when this degree of support is overestimated.

Exemple:

You should turn to channel 6. It’s the most watched channel this year.

This is fallacious because of its implicitly accepting the questionable premise that the most watched channel this year is, for that reason alone, the best channel for you. If you stress the idea of appealing to a new idea held by the gallery, masses, mob, peers, personnes, et ainsi de suite, then it is a Bandwagon Fallacy.

Appeal to the Stick

See Appeal to Emotions (peur).

Appeal to Unqualified Authority

See Appeal to Authority.

Appeal to Vanity

See Appeal to Emotions.

Argument from Ignorance

See Appeal to Ignorance.

Argument from Outrage

See Appeal to Emotions.

Argument from Popularity

See Appeal to the People.

Argumentum Ad ….

See Ad …. without the word “Argumentum.”

Argumentum Consensus Gentium

See Appeal to Traditional Wisdom.

Availability Heuristic

We have an unfortunate instinct to base an important decision on an easily recalled, dramatic example, even though we know the example is atypical. It is a specific version of the fallacy of Confirmation Bias.

Exemple:

I just saw a video of a woman dying by fire in a car crash because she was unable to unbuckle her seat belt as the flames increased in intensity. Ainsi, I am deciding today no longer to wear a seat belt when I drive.

This reasoning commits the Fallacy of the Availability Heuristic because the reasoner would realize, if he would stop and think for a moment, that a great many more lives are saved due to wearing seat belts rather than due to not wearing seat belts, and the video of the situation of the woman unable to unbuckle her seat belt in the car crash is an atypical situation. The name of this fallacy is not very memorable, but it is in common use.

Avoiding the Issue

A reasoner who is supposed to address an issue but instead goes off on a tangent is properly accused of using the Fallacy of Avoiding the Issue. Also called missing the point, straying off the subject, digressing, and not sticking to the issue.

Exemple:

A city official is charged with corruption for awarding contracts to his wife’s consulting firm. In speaking to a reporter about why he is innocent, the city official talks only about his wife’s conservative wardrobe, the family’s lovable dog, and his own accomplishments in supporting Little League baseball.

Toutefois, the fallacy isn’t used by a reasoner who says that some other issue must first be settled and then continues by talking about this other issue, provided the reasoner is correct in claiming this dependence of one issue upon the other.

Avoiding the Question

The Fallacy of Avoiding the Question is a type of Fallacy of Avoiding the Issue that occurs when the issue is how to answer some question. The fallacy occurs when someone’s answer doesn’t really respond to the question asked. The fallacy is also called “Changing the Question.”

Exemple:

Question: Would the Oakland Athletics be in first place if they were to win tomorrow’s game?

Answer: What makes you think they’ll ever win tomorrow’s game?

Bad Seed

Attempting to undermine someone’s reasoning by pointing our their “bad” family history, when it is an irrelevant point. See Genetic Fallacy.

Bald Man

See Line-Drawing.

Bandwagon

If you suggest that someone’s claim is correct simply because it’s what most everyone is coming to believe, then you’re are using the Bandwagon Fallacy. Get up here with us on the wagon where the band is playing, and go where we go, and don’t think too much about the reasons. The Latin term for this Fallacy of Appeal to Novelty is Argumentum ad Novitatem.

Exemple:

[Advertisement] More and more people are buying sports utility vehicles. It is time you bought one, aussi.

Like its close cousin, the Fallacy of Appeal to the People, the Bandwagon Fallacy needs to be carefully distinguished from properly defending a claim by pointing out that many people have studied the claim and have come to a reasoned conclusion that it is correct. What most everyone believes is likely to be true, tout bien considéré, and if one defends a claim on those grounds, this is not a fallacious inference. What is fallacious is to be swept up by the excitement of a new idea or new fad and to unquestionably give it too high a degree of your belief solely on the grounds of its new popularity, perhaps thinking simply that ‘new is better.’ The key ingredient that is missing from a bandwagon fallacy is knowledge that an item is popular because of its high quality.

Begging the Question

A form of circular reasoning in which a conclusion is derived from premises that presuppose the conclusion. Normalement, the point of good reasoning is to start out at one place and end up somewhere new, namely having reached the goal of increasing the degree of reasonable belief in the conclusion. The point is to make progress, but in cases of begging the question there is no progress.

Exemple:

“Women have rights,” said the Bullfighters Association president. “But women shouldn’t fight bulls because a bullfighter is and should be a man.”

The president is saying basically that women shouldn’t fight bulls because women shouldn’t fight bulls. This reasoning isn’t making any progress.

Insofar as the conclusion of a deductively valid argument is “contained” in the premises from which it is deduced, this containing might seem to be a case of presupposing, and thus any deductively valid argument might seem to be begging the question. It is still an open question among logicians as to why some deductively valid arguments are considered to be begging the question and others are not. Some logicians suggest that, in informal reasoning with a deductively valid argument, if the conclusion is psychologically new insofar as the premises are concerned, then the argument isn’t an example of the fallacy. Other logicians suggest that we need to look instead to surrounding circumstances, not to the psychology of the reasoner, in order to assess the quality of the argument. Par exemple, we need to look to the reasons that the reasoner used to accept the premises. Was the premise justified on the basis of accepting the conclusion? A third group of logicians say that, in deciding whether the fallacy is present, more evidence is needed. We must determine whether any premise that is key to deducing the conclusion is adopted rather blindly or instead is a reasonable assumption made by someone accepting their burden of proof. The premise would here be termed reasonable if the arguer could defend it independently of accepting the conclusion that is at issue.

Beside the Point

Arguing for a conclusion that is not relevant to the current issue. Also called Irrelevant Conclusion. It is a form of the Red Herring Fallacy

Biased Generalizing

Generalizing from a biased sample. Using an unrepresentative sample and overestimating the strength of an argument based on that sample.
See Unrepresentative Sample.

Biased Sample

See Unrepresentative Sample.

Biased Statistics

See Unrepresentative Sample.

Bifurcation

See Black-or-White.

Black-or-White

The Black-or-White fallacy or Black-White fallacy is a False Dilemma Fallacy that limits you unfairly to only two choices, as if you were made to choose between black and white.

Exemple:

Bien, it’s time for a decision. Will you contribute $20 to our environmental fund, or are you on the side of environmental destruction?

A proper challenge to this fallacy could be to say, “I do want to prevent the destruction of our environment, but I don’t want to give $20 to your fund. You are placing me between a rock and a hard place.” The key to diagnosing the Black-or-White Fallacy is to determine whether the limited menu is fair or unfair. Simply saying, “Will you contribute $20 or won’t you?” is not unfair. The black-or-white fallacy is often committed intentionally in jokes such as: “My toaster has two settings—burnt and off.” In thinking about this kind of fallacy it is helpful to remember that everything is either black or not black, but not everything is either black or white.

Caricaturization

Attacking a person’s argument by presenting a caricaturization is a form of the Straw Man Fallacy and the Ad Hominem Fallacy. A critical thinker should attack the real man, not a caricatuzation of the man. Ditto for women, bien sûr. The Caricaturization Fallacy is the same as the Fallacy of Refutation by Caricature.

Changing the Question

This is another name for the Fallacy of Avoiding the Question.

Cherry-Picking

Cherry-Picking the Evidence is another name for the Fallacy of Suppressed Evidence.

Circular Reasoning

The Fallacy of Circular Reasoning occurs when the reasoner begins with what he or she is trying to end up with.

Here is Steven Pinker’s example:

Définition: endless loop, est. See loop, endless.

Définition: loop, endless, est. See endless loop.

The most well known examples of circular reasoning are cases of the Fallacy of Begging the Question. Here the circle is as short as possible. Toutefois, if the circle is very much larger, including a wide variety of claims and a large set of related concepts, then the circular reasoning can be informative and so is not considered to be fallacious. Par exemple, a dictionary contains a large circle of definitions that use words which are defined in terms of other words that are also defined in the dictionary. Because the dictionary is so informative, it is not considered as a whole to be fallacious. Toutefois, a small circle of definitions is considered to be fallacious.

In properly-constructed recursive definitions, defining a term by using that same term is not fallacious. Par exemple, here is an appropriate recursive definition of the term “a stack of coins.” Basis step: Two coins, with one on top of the other, is a stack of coins. Recursion step: If p is a stack of coins, then adding a coin on top of p produces a stack of coins. For a deeper discussion of circular reasoning see Infinitism in Epistemology.

Circumstantial Ad Hominem

See Ad Hominem, Circumstantial.

Clouding the Issue

See Smokescreen.

Common Belief

See Appeal to the People and Traditional Wisdom.

Common Cause

This fallacy occurs during causal reasoning when a causal connection between two kinds of events is claimed when evidence is available indicating that both are the effect of a common cause.

Exemple:

Noting that the auto accident rate rises and falls with the rate of use of windshield wipers, one concludes that the use of wipers is somehow causing auto accidents.

Toutefois, it’s the rain that’s the common cause of both.

Common Practice

See Appeal to the People and Traditional Wisdom.

Complex Question

You use this fallacy when you frame a question so that some controversial presupposition is made by the wording of the question.

Exemple:

[Reporter’s question] Mr. President: Are you going to continue your policy of wasting taxpayer’s money on missile defense?

The question unfairly presumes the controversial claim that the policy really is a waste of money. The Fallacy of Complex Question is a form of Begging the Question.

Composition

The Composition Fallacy occurs when someone mistakenly assumes that a characteristic of some or all the individuals in a group is also a characteristic of the group itself, the group “composed” of those members. It is the converse of the Division Fallacy.

Exemple:

Each human cell is very lightweight, so a human being composed of cells is also very lightweight.

Confirmation Bias

The tendency to look for evidence in favor of one’s controversial hypothesis and not to look for disconfirming evidence, or to pay insufficient attention to it. This is the most common kind of Fallacy of Selective Attention, and it is the foundation of many conspiracy theories.

Exemple:

She loves me, and there are so many ways that she has shown it. When we signed the divorce papers in her lawyer’s office, she wore my favorite color. When she slapped me at the bar and called me a “handsome pig,” she used the word “handsome” when she didn’t have to. When I called her and she said never to call her again, she first asked me how I was doing and whether my life had changed. When I suggested that we should have children in order to keep our marriage together, she laughed. If she can laugh with me, if she wants to know how I am doing and whether my life has changed, and if she calls me “handsome” and wears my favorite color on special occasions, then I know she really loves me.

Using the Fallacy of Confirmation Bias is usually a sign that one has adopted some belief dogmatically and isn’t willing to disconfirm the belief, or is too willing to interpret ambiguous evidence so that it conforms to what one already believes. Confirmation bias often reveals itself in the fact that people of opposing views can each find support for those views in the same piece of evidence.

Conjunction

Mistakenly supposing that event E is less likely than the conjunction of events E and F. Here is an example from the psychologists Daniel Kahneman and Amos Tversky.

Exemple:

Suppose you know that Linda is 31 years old, seul, outspoken, and very bright. She majored in philosophy. As a student, she was deeply concerned with issues of discrimination and social justice. Then you are asked to choose which is more likely: (UN) Linda is a bank teller or (B) Linda is a bank teller and active in the feminist movement. If you choose (B) you commit the Conjunction Fallacy

Confusing an Explanation with an Excuse

Treating someone’s explanation of a fact as if it were a justification of the fact. Explaining a crime should not be confused with excusing the crime, but it too often is.
Exemple:

Speaker: The German atrocities committed against the French and Belgians during World War I were in part due to the anger of German soldiers who learned that French and Belgian soldiers were ambushing German soldiers, shooting them in the back, or even poisoning, blinding and castrating them.

Respondent: I don’t understand how you can be so insensitive as to condone those German atrocities.

Consensus Gentium

Fallacy of Argumentum Consensus Gentium (argument from the consensus of the nations). See Traditional Wisdom.

Consequence

See Appeal to Consequence.

Contextomy

See Quoting out of Context.

Converse Accident

If we reason by paying too much attention to exceptions to the rule, and generalize on the exceptions, our reasoning contains this fallacy. This fallacy is the converse of the Accident Fallacy. It is a kind of Hasty Generalization, by generalizing too quickly from a peculiar case.

Exemple:

I’ve heard that turtles live longer than tarantulas, but the one turtle I bought lived only two days. I bought it at Dowden’s Pet Store. Ainsi, I think that turtles bought from pet stores do not live longer than tarantulas.

The original generalization is “Turtles live longer than tarantulas.” There are exceptions, such as the turtle bought from the pet store. Rather than seeing this for what it is, namely an exception, the reasoner places too much trust in this exception and generalizes on it to produce the faulty generalization that turtles bought from pet stores do not live longer than tarantulas.

Cover-up

See Suppressed Evidence.

Cum Hoc, Ergo Propter Hoc

Latin for “with this, therefore because of this.” This is a False Cause Fallacy that doesn’t depend on time order (as does the post hoc fallacy), but on any other chance correlation of the supposed cause being in the presence of the supposed effect.

Exemple:

Loud musicians live near our low-yield cornfields. Ainsi, loud musicians must be causing the low yield.

Curve Fitting

Curve fitting is the process of constructing a curve that has the best fit to a series of data points. The curve is a graph of some mathematical function. The function or functional relationship might be between variable x and variable y, where x is the time of day and y is the temperature of the ocean. When you collect data about some relationship, you inevitably collect information that is affected by noise or statistical fluctuation. If you create a function between x and y that is too sensitive to your data, you will be overemphasizing the noise and producing a function that has less predictive value than need be. If you create your function by interpolating, c'est, by drawing straight line segments between all the adjacent data points, or if you create a polynomial function that exactly fits every data point, it is likely that your function will be worse than if you’d produced a function with a smoother curve. Your original error of too closely fitting the data-points is called the Fallacy of Curve Fitting or the Fallacy of Overfitting.

Exemple:

You want to know the temperature of the ocean today, so you measure it at 8:00 A.M. with one thermometer and get the temperature of 60.1 degrees. Then you measure the ocean at 8:05 A.M. with a different thermometer and get the temperature of 60.2 degrees; then at 8:10 A.M. and get 59.1 degrees perhaps with the first thermometer, et ainsi. If you fit your curve exactly to your data points, then you imply that the ocean’s temperature is shifting all around every five minutes. Toutefois, the temperature is probably constant, and the problem is that your prediction is too sensitive to your data, so your curve fits the data points too closely.

Definist

The Definist Fallacy occurs when someone unfairly defines a term so that a controversial position is made easier to defend. Same as the Persuasive Definition.

Exemple:

During a controversy about the truth or falsity of atheism, the fallacious reasoner says, “Let’s define ‘atheist’ as someone who doesn’t yet realize that God exists.”

Denying the Antecedent

You are using this fallacy if you deny the antecedent of a conditional and then suppose that doing so is a sufficient reason for denying the consequent. This formal fallacy is often mistaken for Modus Tollens, a valid form of argument using the conditional. A conditional is an if-then statement; the if-part is the antecedent, and the then-part is the consequent.

Exemple:

If she were Brazilian, then she would know that Brazil’s official language is Portuguese. She isn’t Brazilian; she’s from London. Ainsi, she surely doesn’t know this about Brazil’s language.

Disregarding Known Science

This fallacy is committed when a person makes a claim that knowingly or unknowingly disregards well known science, science that weighs against the claim. They should know better. This fallacy is a form of the Fallacy of Suppressed Evidence.

Exemple:

John claims in his grant application that he will be studying the causal effectiveness of bone color on the ability of leg bones to support indigenous New Zealand mammals. He disregards well known scientific knowledge that color is not what causes any bones to work the way they do by saying that this knowledge has never been tested in New Zealand.

Digression

See Avoiding the Issue.

Distraction

See Smokescreen.

Division

Merely because a group as a whole has a characteristic, it often doesn’t follow that individuals in the group have that characteristic. If you suppose that it does follow, when it doesn’t, your reasoning contains the Fallacy of Division. It is the converse of the Composition Fallacy.

Exemple:

Joshua’s soccer team is the best in the division because it had an undefeated season and won the division title, so their goalie must be the best in the division.

Domino

See Slippery Slope.

Double Standard

There are many situations in which you should judge two things or people by the same standard. If in one of those situations you use different standards for the two, your reasoning contains the Fallacy of Using a Double Standard.

Exemple:

I know we will hire any man who gets over a 70 percent on the screening test for hiring Post Office employees, but women should have to get an 80 to be hired because they often have to take care of their children.

This example is a fallacy if it can be presumed that men and women should have to meet the same standard for becoming a Post Office employee.

Either/Or

See Black-or-White.

Equivocation

Equivocation is the illegitimate switching of the meaning of a term that occurs twice during the reasoning; it is the use of one word taken in two ways. The fallacy is a kind of Fallacy of Ambiguity.

Exemple:

Brad is a nobody, but since nobody is perfect, Brad must be perfect, aussi.

The term “nobody” changes its meaning without warning in the passage. Equivocation can sometimes be very difficult to detect, as in this argument from Walter Burleigh:

If I call you a swine, then I call you an animal.
If I call you an animal, then I’m speaking the truth.
Donc, if I call you a swine, then I’m speaking the truth.

Etymological

The Etymological Fallacy occurs whenever someone falsely assumes that the meaning of a word can be discovered from its etymology or origins.

Exemple:

The word “vise” comes from the Latin “that which winds,” so it means anything that winds. Since a hurricane winds around its own eye, it is a vise.

Every and All

The Fallacy of Every and All turns on errors due to the order or scope of the quantifiers “every” and “all” and “any.” This is a version of the Scope Fallacy.

Exemple:

Every action of ours has some final end. Ainsi, there is some common final end to all our actions.

In proposing this fallacious argument, Aristotle believed the common end is the supreme good, so he had a rather optimistic outlook on the direction of history.

Exaggeration

When we overstate or overemphasize a point that is a crucial step in a piece of reasoning, then we are guilty of the Fallacy of Exaggeration. This is a kind of error called Lack of Proportion.

Exemple:

She’s practically admitted that she intentionally yelled at that student while on the playground in the fourth grade. That’s verbal assault. Then she said nothing when the teacher asked, “Who did that?” That’s lying, plain and simple. Do you want to elect as secretary of this club someone who is a known liar prone to assault? Doing so would be a disgrace to our Collie Club.

When we exaggerate in order to make a joke, mais, we do not use the fallacy because we do not intend to be taken literally.

Excluded Middle

See False Dilemma or Black-or-White.

False Analogy

The problem is that the items in the analogy are too dissimilar. When reasoning by analogy, the fallacy occurs when the analogy is irrelevant or very weak or when there is a more relevant disanalogy. See also Faulty Comparison.

Exemple:

The book Investing for Dummies really helped me understand my finances better. The book Chess for Dummies was written by the same author, was published by the same press, and costs about the same amount. Ainsi, this chess book would probably help me understand my finances, aussi.

False Balance

A specific form of the False Equivalence Fallacy that occurs in the context of news reporting, in which the reporter misleads the audience by suggesting the evidence on two sides of an issue is equally balanced, when the reporter knows that one of the two sides is an extreme outlier. Reporters regularly commit this fallacy in order to appear “fair and balanced.”

Exemple:

The news report of the yesterday’s city council meeting says, “David Samsung challenged the council by saying the Gracie Mansion is haunted, so it should not be torn down. Councilwoman Miranda Gonzales spoke in favor of dismantling the old mansion saying its land is needed for an expansion of the water treatment facility. Both sides seemed quite fervent in promoting their position.” Then the news report stops there, covering up the facts that the preponderance of scientific evidence implies there is no such thing as being haunted, and that David Samsung is the well known “village idiot” who last month came before the council demanding a tax increase for Santa Claus’ workers at the North Pole.

False Cause

Improperly concluding that one thing is a cause of another. The Fallacy of Non Causa Pro Causa is another name for this fallacy. Its four principal kinds are the Post Hoc Fallacy, the Fallacy of Cum Hoc, Ergo Propter Hoc, the Regression Fallacy, and the Fallacy of Reversing Causation.

Exemple:

My psychic adviser says to expect bad things when Mars is aligned with Jupiter. Tomorrow Mars will be aligned with Jupiter. Ainsi, if a dog were to bite me tomorrow, it would be because of the alignment of Mars with Jupiter.

False Dichotomy

See False Dilemma or Black-or-White.

False Dilemma

A reasoner who unfairly presents too few choices and then implies that a choice must be made among this short menu of choices is using the False Dilemma Fallacy, as does the person who accepts this faulty reasoning.

Exemple:

A pollster asks you this question about your job: “Would you say your employer is drunk on the job about (À) once a week, (b) twice a week, ou (c) more times per week?

The pollster is committing the fallacy by limiting you to only those choices. What about the choice of “no times per week”? Think of the unpleasant choices as being the horns of a bull that is charging toward you. By demanding other choices beyond those on the unfairly limited menu, you thereby “go between the horns” of the dilemma, and are not gored. The fallacy is called the “False Dichotomy Fallacy” or the “Black-or-White” Fallacy when the unfair menu contains only two choices, and thus two horns.

False Equivalence

The Fallacy of False Equivalence is committed when someone implies falsely (and usually indirectly) that the two sides on some issue have basically equivalent evidence, while knowingly covering up the fact that one side’s evidence is much weaker. A form of the Fallacy of Suppressed Evidence.

Exemple:

A popular science article suggests there is no consensus about the Earth’s age, by quoting one geologist who says she believes the Earth is billions of years old, and then by quoting Bible expert James Ussher who says he calculated from the Bible that the world began on Friday, October 28, 4,004 B.C.E. The article suppresses the evidence that geologists (who are the relevant experts on this issue) have reached a consensus that the Earth is billions of years old.

Far-Fetched Hypothesis

This is the fallacy of offering a bizarre (far-fetched) hypothesis as the correct explanation without first ruling out more mundane explanations.

Exemple:

Look at that mutilated cow in the field, and see that flattened grass. Aliens must have landed in a flying saucer and savaged the cow to learn more about the beings on our planet.

Faulty Comparison

If you try to make a point about something by comparison, and if you do so by comparing it with the wrong thing, then your reasoning uses the Fallacy of Faulty Comparison or the Fallacy of Questionable Analogy.

Exemple:

We gave half the members of the hiking club Durell hiking boots and the other half good-quality tennis shoes. After three months of hiking, you can see for yourself that Durell lasted longer. Toi, aussi, should use Durell when you need hiking boots.

Shouldn’t Durell hiking boots be compared with other hiking boots, not with tennis shoes?

Faulty Generalization

A fallacy produced by some error in the process of generalizing. See Hasty Generalization or Unrepresentative Generalization for examples.

Faulty Motives

An irrelevant appeal to the motives of the arguer, and supposing that this revelation of their motives will thereby undermine their reasoning. A kind of Ad Hominem Fallacy.

Exemple:

The councilman’s argument for the new convention center can’t be any good because he stands to gain if it’s built.

Formal Fallacy

Formal fallacies are all the cases or kinds of reasoning that fail to be deductively valid. Formal fallacies are also called Logical Fallacies or Invalidities. C'est, they are deductively invalid arguments that are too often believed to be deductively valid.

Exemple:

Some cats are tigers. Some tigers are animals. Ainsi, some cats are animals.

This might at first seem to be a good argument, but actually it is fallacious because it has the same logical form as the following more obviously invalid argument:

Some women are Americans. Some Americans are men. Ainsi, some women are men.

Nearly all the infinity of types of invalid inferences have no specific fallacy names.

Four Terms

The Fallacy of Four Terms (quaternio terminorum) occurs when four rather than three categorical terms are used in a standard-form syllogism.

Exemple:

All rivers have banks. All banks have vaults. Ainsi, all rivers have vaults.

The word “banks” occurs as two distinct terms, namely river bank and financial bank, so this example also is an equivocation. Without an equivocation, the four term fallacy is trivially invalid.

Gambler’s

This fallacy occurs when the gambler falsely assumes that the history of outcomes will affect future outcomes.

Exemple:

I know this is a fair coin, but it has come up heads five times in a row now, so tails is due on the next toss.

The fallacious move was to conclude that the probability of the next toss coming up tails must be more than a half. The assumption that it’s a fair coin is important because, if the coin comes up heads five times in a row, one would otherwise become suspicious that it’s not a fair coin and therefore properly conclude that the probably is high that heads is more likely on the next toss.

Genetic

A critic uses the Genetic Fallacy if the critic attempts to discredit or support a claim or an argument because of its origin (genesis) when such an appeal to origins is irrelevant.

Exemple:

Whatever your reasons are for buying that gift, they’ve got to be ridiculous. You said yourself that you got the idea for buying it from last night’s fortune cookie. Cookies can’t think!

Fortune cookies are not reliable sources of information about what gift to buy, but the reasons the person is willing to give are likely to be quite relevant and should be listened to. The speaker is committing the Genetic Fallacy by paying too much attention to the genesis of the idea rather than to the reasons offered for it.

If I learn that your plan for building the shopping center next to the Johnson estate originated with Johnson himself, who is likely to profit from the deal, then my request that the planning commission not accept your proposal without independent verification of its merits wouldn’t be committing the genetic fallacy. Because appeals to origins are sometimes relevant and sometimes irrelevant and sometimes on the borderline, in those latter cases it can be very difficult to decide whether the fallacy has been committed. Par exemple, if Sigmund Freud shows that the genesis of a person’s belief in God is their desire for a strong father figure, then does it follow that their belief in God is misplaced, or is Freud’s reasoning committing the Genetic Fallacy?

Group Think

A reasoner uses the Group Think Fallacy if he or she substitutes pride of membership in the group for reasons to support the group’s policy. If that’s what our group thinks, then that’s good enough for me. It’s what I think, aussi. “Blind” patriotism is a rather nasty version of the fallacy.

Exemple:

We K-Mart employees know that K-Mart brand items are better than Wall-Mart brand items because, Bien, they are from K-Mart, aren’t they?

Guilt by Association

Guilt by Association is a version of the Ad Hominem Fallacy in which a person is said to be guilty of error because of the group he or she associates with. The fallacy occurs when we unfairly try to change the issue to be about the speaker’s circumstances rather than about the speaker’s actual argument. Also called “Ad Hominem, Circumstantial.”

Exemple:

Secretary of State Dean Acheson is too soft on communism, as you can see by his inviting so many fuzzy-headed liberals to his White House cocktail parties.

Has any evidence been presented here that Acheson’s actions are inappropriate in regards to communism? This sort of reasoning is an example of McCarthyism, the technique of smearing liberal Democrats that was so effectively used by the late Senator Joe McCarthy in the early 1950s. En fait, Acheson was strongly anti-communist and the architect of President Truman’s firm policy of containing Soviet power.

Hasty Conclusion

See Jumping to Conclusions.

Hasty Generalization

A Hasty Generalization is a Fallacy of Jumping to Conclusions in which the conclusion is a generalization. See also Biased Statistics.

Exemple:

I’ve met two people in Nicaragua so far, and they were both nice to me. Ainsi, all people I will meet in Nicaragua will be nice to me.

In any Hasty Generalization the key error is to overestimate the strength of an argument that is based on too small a sample for the implied confidence level or error margin. In this argument about Nicaragua, using the word “all” in the conclusion implies zero error margin. With zero error margin you’d need to sample every single person in Nicaragua, not just two people.

Heap

See Line-Drawing.

Hedging

You are hedging if you refine your claim simply to avoid counterevidence and then act as if your revised claim is the same as the original.

Exemple:

Samantha: David is a totally selfish person.

Yvonne: I thought we was a boy scout leader. Don’t you have to give a lot of your time for that?

Samantha: Bien, David’s totally selfish about what he gives money to. He won’t spend a dime on anyone else.

Yvonne: I saw him bidding on things at the high school auction fundraiser.

Samantha: Bien, except for that he’s totally selfish about money.

You do not use the fallacy if you explicitly accept the counterevidence, admit that your original claim is incorrect, and then revise it so that it avoids that counterevidence.

Hooded Man

This is an error in reasoning due to confusing the knowing of a thing with the knowing of it under all its various names or descriptions.

Exemple:

You claim to know Socrates, but you must be lying. You admitted you didn’t know the hooded man over there in the corner, but the hooded man is Socrates.

Hyperbolic Discounting

The Fallacy of Hyperbolic Discounting occurs when someone too heavily weighs the importance of a present reward over a significantly greater reward in the near future, but only slightly differs in their valuations of those two rewards if they are to be received in the far future. The person’s preferences are biased toward the present.

Exemple:

When asked to decide between receiving an award of $50 now or $60 tomorrow, the person chooses the $50; cependant, when asked to decide between receiving $50 in two years or $60 in two years and one day, the person chooses the $60.

If the person is in a situation in which $50 now will solve their problem but $60 tomorrow will not, then there is no fallacy in having a bias toward the present.

Hypostatization

The error of inappropriately treating an abstract term as if it were a concrete one. Also known as the Fallacy of Misplaced Concreteness and the Fallacy of Reification.

Exemple:

Nature decides which organisms live and which die.

Nature isn’t capable of making decisions. The point can be made without reasoning fallaciously by saying: “Which organisms live and which die is determined by natural causes.” Whether a phrase commits the fallacy depends crucially upon whether the use of the inaccurate phrase is inappropriate in the situation. In a poem, it is appropriate and very common to reify nature, espoir, peur, forgetfulness, et ainsi de suite, c'est, to treat them as if they were objects or beings with intentions. In any scientific claim, it is inappropriate.

Ideology-driven argumentation

This occurs when an arguer presupposes some aspect of their own ideology that they are unable to defend.

Exemple:

Senator, if you pass that bill to relax restrictions on gun ownership and allow people to carry concealed handguns, then you are putting your own voters at risk.

The arguer is presupposing a liberal ideology which implies that permitting private citizens to carry concealed handguns increases crime and decreases safety. If the arguer is unable to defend this presumption, then the fallacy is committed regardless of whether the presumption is defensible. If the senator were to accept this liberal ideology, then the senator is likely to accept the arguer’s conclusion, and the argument could be considered to be effective, but still it would be fallacious—such is the difference between rhetoric and logic.

Ignoratio Elenchi

See Irrelevant Conclusion. Also called missing the point.

Ignoring a Common Cause

See Common Cause.

Ignoring Inconvenient Data

See Suppressed Evidence.

Incomplete Evidence

See Suppressed Evidence.

Improper Analogy

Another name for the Fallacy of False Analogy.

Inconsistency

The fallacy occurs when we accept an inconsistent set of claims, c'est, when we accept a claim that logically conflicts with other claims we hold.

Exemple:

I never generalize because everyone who does is a hypocrite.

That last remark implies the speaker does generalize, although the speaker doesn’t notice this inconsistency with what is said.

Inductive Conversion

Improperly reasoning from a claim of the form “All As are Bs” to “All Bs are As” or from one of the form “Many As are Bs” to “Many Bs are As” and so forth.

Exemple:

Most professional basketball players are tall, so most tall people are professional basketball players.

The term “conversion” is a technical term in formal logic.

Insufficient Statistics

Drawing a statistical conclusion from a set of data that is clearly too small.

Exemple:

A pollster interviews ten London voters in one building about which candidate for mayor they support, and upon finding that Churchill receives support from six of the ten, declares that Churchill has the majority support of London voters.

This fallacy is a form of the Fallacy of Jumping to Conclusions.

Intensional

The mistake of treating different descriptions or names of the same object as equivalent even in those contexts in which the differences between them matter. Reporting someone’s beliefs or assertions or making claims about necessity or possibility can be such contexts. In these contexts, replacing a description with another that refers to the same object is not valid and may turn a true sentence into a false one.

Exemple:

Michelle said she wants to meet her new neighbor Stalnaker tonight. But I happen to know Stalnaker is a spy for North Korea, so Michelle said she wants to meet a spy for North Korea tonight.

Michelle said no such thing. The faulty reasoner illegitimately assumed that what is true of a person under one description will remain true when said of that person under a second description even in this context of indirect quotation. What was true of the person when described as “her new neighbor Stalnaker” is that Michelle said she wants to meet him, but it wasn’t legitimate for me to assume this is true of the same person when he is described as “a spy for North Korea.”

Extensional contexts are those in which it is legitimate to substitute equals for equals with no worry. But any context in which this substitution of co-referring terms is illegitimate is called an intensional context. Intensional contexts are produced by quotation, modality, and intentionality (propositional attitudes). Intensionality is failure of extensionality, thus the name “Intensional Fallacy”.

Invalid Reasoning

An invalid inference. An argument can be assessed by deductive standards to see if the conclusion would have to be true if the premises were to be true. If the argument cannot meet this standard, it is invalid. An argument is invalid only if it is not an instance of any valid argument form. The Fallacy of Invalid Reasoning is a formal fallacy.

Exemple:

If it’s raining, then there are clouds in the sky. It’s not raining. Donc, there are no clouds in the sky.

This invalid argument is an instance of Denying the Antecedent. Any invalid inference that is also inductively very weak is a Non Sequitur.

Irrelevant Conclusion

The conclusion that is drawn is irrelevant to the premises; it misses the point.

Exemple:

In court, Thompson testifies that the defendant is a honorable person, who wouldn’t harm a flea. The defense attorney uses the fallacy by rising to say that Thompson’s testimony shows once again that his client was not near the murder scene.

The testimony of Thompson may be relevant to a request for leniency, but it is irrelevant to any claim about the defendant not being near the murder scene. Other examples of this fallacy are Ad Hominem, Appeal to Authority, Appeal to Emotions, and Argument from Ignorance.

Irrelevant Reason

This fallacy is a kind of Non Sequitur in which the premises are wholly irrelevant to drawing the conclusion.

Exemple:

Lao Tze Beer is the top selling beer in Thailand. Ainsi, it will be the best beer for Canadians.

Is-Ought

The Is-Ought Fallacy occurs when a conclusion expressing what ought to be so is inferred from premises expressing only what is so, in which it is supposed that no implicit or explicit ought-premises are need. There is controversy in the philosophical literature regarding whether this type of inference is always fallacious.

Exemple:

He’s torturing the cat.

Ainsi, he shouldn’t do that.

This argument would not use the fallacy if there were an implicit premise indicating that he is a person and that persons should not torture other beings.

Jumping to Conclusions

It is not always a mistake to make a quick decision, but when we draw a conclusion without taking the trouble to acquire enough of the relevant evidence, our reasoning commits the fallacy of jumping to conclusions, provided there was sufficient time to acquire and assess that extra evidence, and provided that the extra effort it takes to get the evidence isn’t prohibitive.

Exemple:

This car is really cheap. I’ll buy it.

Hold on. Before concluding that you should buy it, ask yourself whether you need to buy another car and, le cas échéant, whether you should lease or rent or just borrow a car when you need to travel by car. If you do need to buy a car, you ought to have someone check its operating condition, or else you should make sure you get a guarantee about the car’s being in working order. Et, if you stop to think about it, there may be other factors you should consider before making the purchase, such as its age, taille, apparence, and mileage.

Lack of Proportion

The Fallacy of Lack of Proportion occurs either by exaggerating or downplaying or simply not noticing a point that is a crucial step in a piece of reasoning. You exaggerate when you make a mountain out of a molehill. You downplay when you suppress relevant evidence. The Genetic Fallacy blows the genesis of an idea out of proportion.

Exemple:

Did you hear about that tourist getting mugged in Russia last week? And then there was the awful train wreck last year just outside Moscow where three of the twenty-five persons killed were tourists. I’ll never visit Russia.

The speaker is blowing these isolated incidents out of proportion. Millions of tourists visit Russia with no problems. Another example occurs when the speaker simply lacks the information needed to give a factor its proper proportion or weight:

I don’t use electric wires in my home because it is well known that the human body can be injured by electric and magnetic fields.

The speaker does not realize all experts agree that electric and magnetic fields caused by home wiring are harmless. Toutefois, touching the metal within those wires is very dangerous.

Line-Drawing

If we improperly reject a vague claim because it is not as precise as we’d like, then we are using the line-drawing fallacy. Being vague is not being hopelessly vague. Also called the Bald Man Fallacy, the Fallacy of the Heap and the Sorites Fallacy.

Exemple:

Dwayne can never grow bald. Dwayne isn’t bald now. Don’t you agree that if he loses one hair, that won’t make him go from not bald to bald? And if he loses one hair after that, then this one loss, aussi, won’t make him go from not bald to bald. Donc, no matter how much hair he loses, he can’t become bald.

Loaded Language

Loaded language is emotive terminology that expresses value judgments. When used in what appears to be an objective description, the terminology unfortunately can cause the listener to adopt those values when in fact no good reason has been given for doing so. Also called Prejudicial Language.

Exemple:

[News broadcast] In today’s top stories, Senator Smith carelessly cast the deciding vote today to pass both the budget bill and the trailer bill to fund yet another excessive watchdog committee over coastal development.

This broadcast is an editorial posing as a news report.

Loaded Question

Asking a question in a way that unfairly presumes the answer. This fallacy occurs commonly in polls, especially push polls, which are polls designed to push information onto the person being polled and not designed to learn the person’s views.

Exemple:

“If you knew that candidate B was a liar and crook, would you support candidate A or instead candidate B who is neither a liar nor a crook?”

Logic Chopping

Obscuring the issue by using overly-technical logic tools, especially the techniques of formal symbolic logic, that focus attention on trivial details. A form of Smokescreen and Quibbling.

Logical

See Formal.

Lying

A fallacy of reasoning that depends on intentionally saying something that is known to be false. If the lying occurs in an argument’s premise, then it is an example of the Fallacy of Questionable Premise.

Exemple:

Abraham Lincoln, Theodore Roosevelt, and John Kennedy were assassinated.

They were U.S. presidents.

Donc, at least three U.S. presidents have been assassinated.

Roosevelt was never assassinated.

Maldistributed Middle

See Undistributed Middle.

Many Questions

See Complex Question.

Misconditionalization

See Modal Fallacy.

Misleading Accent

See the Fallacy of Accent.

Misleading Vividness

When the Fallacy of Jumping to Conclusions is due to a special emphasis on an anecdote or other piece of evidence, then the Fallacy of Misleading Vividness has occurred.

Exemple:

Oui, I read the side of the cigarette pack about smoking being harmful to your health. That’s the Surgeon General’s opinion, him and all his statistics. But let me tell you about my uncle. Uncle Harry has smoked cigarettes for forty years now and he’s never been sick a day in his life. He even won a ski race at Lake Tahoe in his age group last year. You should have seen him zip down the mountain. He smoked a cigarette during the award ceremony, and he had a broad smile on his face. I was really proud. I can still remember the cheering. Cigarette smoking can’t be as harmful as people say.

The vivid anecdote is the story about Uncle Harry. Too much emphasis is placed on it and not enough on the statistics from the Surgeon General.

Misplaced Concreteness

Mistakenly supposing that something is a concrete object with independent existence, when it’s not. Also known as the Fallacy of Reification and the Fallacy of Hypostatization.

Exemple:

There are two footballs lying on the floor of an otherwise empty room. When asked to count all the objects in the room, John says there are three: the two balls plus the group of two.

John mistakenly supposed a group or set of concrete objects is also a concrete object.

A less metaphysical example would be a situation where John says a criminal was caught by K-9 aid, and thereby supposed that K-9 aid was some sort of concrete object. John could have expressed the same point less misleadingly by saying a K-9 dog aided in catching a criminal.

Misplaced Burden of Proof

Committing the error of trying to get someone else to prove you are wrong, when it is your responsibility to prove you are correct.

Exemple:

Person A: I saw a green alien from outer space.
Person B: Quoi!? Can you prove it?
Person A: You can’t prove I didn’t.

If someone says, “I saw a green alien from outer space,” you properly should ask for some proof. If the person responds with no more than something like, “Prove I didn’t,” then they are not accepting their burden of proof and are improperly trying to place it on your shoulders.

Misrepresentation

If the misrepresentation occurs on purpose, then it is an example of lying. If the misrepresentation occurs during a debate in which there is misrepresentation of the opponent’s claim, then it would be the cause of a Straw Man Fallacy.

Missing the Point

See Irrelevant Conclusion.

Mob Appeal

See Appeal to the People.

Modal

This is the error of treating modal conditionals as if the modality applies only to the then-part of the conditional when it more properly applies to the entire conditional.

Exemple:

James has two children. If James has two children, then he necessarily has more than one child. Ainsi, it is necessarily true that James has more than one child.

This apparently valid argument is invalid. It is not necessarily true that James has more than one child; it’s merely true that he has more than one child. He could have had no children. It is logically possible that James has no children even though he actually has two. The solution to the fallacy is to see that the premise “If James has two children, then he necessarily has more than one child,” requires the modality “necessarily” to apply logically to the entire conditional “If James has two children,then he has more than one child” even though grammatically it applies only to “he has more than one child.” The Modal Fallacy is the most well known of the infinitely many errors involving modal concepts. Modal concepts include necessity, possibilité, et ainsi de suite.

Monte Carlo

See Gambler’s Fallacy.

Name Calling

See Ad Hominem.

Naturalistic

On a broad interpretation of this fallacy, it applies to any attempt to argue from an “is” to an “ought," c'est, from a list of facts to a conclusion about what ought to be done.

Exemple:

Because women are naturally capable of bearing and nursing children while men are not, women ought to be the primary caregivers of children.

Here is another example. Owners of financially successful companies are more successful than poor people in the competition for wealth, power and social status. Donc, the poor deserve to be poor. There is considerable disagreement among philosophers regarding what sorts of arguments the term “Naturalistic Fallacy” legitimately applies to.

Neglecting a Common Cause

See Common Cause.

No Middle Ground

See False Dilemma.

No True Scotsman

This error is a kind of Ad Hoc Rescue of one’s generalization in which the reasoner re-characterizes the situation solely in order to escape refutation of the generalization.

Exemple:

Forgeron: All Scotsmen are loyal and brave.

Jones: But McDougal over there is a Scotsman, and he was arrested by his commanding officer for running from the enemy.

Forgeron: Bien, if that’s right, it just shows that McDougal wasn’t a TRUE Scotsman.

Non Causa Pro Causa

This label is Latin for mistaking the “non-cause for the cause.” See False Cause.

Non Sequitur

When a conclusion is supported only by extremely weak reasons or by irrelevant reasons, the argument is fallacious and is said to be a Non Sequitur. Toutefois, we usually apply the term only when we cannot think of how to label the argument with a more specific fallacy name. Any deductively invalid inference is a non sequitur if it also very weak when assessed by inductive standards.

Exemple:

Nuclear disarmament is a risk, but everything in life involves a risk. Every time you drive in a car you are taking a risk. If you’re willing to drive in a car, you should be willing to have disarmament.

The following is not an example: “If she committed the murder, then there’d be his blood stains on her hands. His blood stains are on her hands. Ainsi, she committed the murder.” This deductively invalid argument uses the Fallacy of Affirming the Consequent, but it isn’t a non sequitur because it has significant inductive strength.

Obscurum per Obscurius

Explaining something obscure or mysterious by something that is even more obscure or more mysterious.

Exemple:

Let me explain what a lucky result is. It is a fortuitous collapse of the quantum mechanical wave packet that leads to a surprisingly pleasing result.

One-Sidedness

See the related fallacies of Confirmation Bias, Slanting and Suppressed Evidence.

Opposition

Being opposed to someone’s reasoning because of who they are, usually because of what group they are associated with. See the Fallacy of Guilt by Association.

Over-Fitting

See Curve Fitting.

Overgeneralization

See Sweeping Generalization.

Oversimplification

You oversimplify when you cover up relevant complexities or make a complicated problem appear to be too much simpler than it really is.

Exemple:

President Bush wants our country to trade with Fidel Castro’s Communist Cuba. I say there should be a trade embargo against Cuba. The issue in our election is Cuban trade, and if you are against it, then you should vote for me for president.

Whom to vote for should be decided by considering quite a number of issues in addition to Cuban trade. When an oversimplification results in falsely implying that a minor causal factor is the major one, then the reasoning also uses the False Cause Fallacy.

Past Practice

See Traditional Wisdom.

Pathetic

The Pathetic Fallacy is a mistaken belief due to attributing peculiarly human qualities to inanimate objects (but not to animals). The fallacy is caused by anthropomorphism.

Exemple:

Aargh, it won’t start again. This old car always breaks down on days when I have a job interview. It must be afraid that if I get a new job, then I’ll be able to afford a replacement, so it doesn’t want me to get to my interview on time.

Peer Pressure

See Appeal to the People.

Persuasive Definition

Some people try to win their arguments by getting you to accept their faulty definition. If you buy into their definition, they’ve practically persuaded you already. Same as the Definist Fallacy. Poisoning the Well when presenting a definition would be an example of a using persuasive definition.

Exemple:

Let’s define a Democrat as a leftist who desires to overtax the corporations and abolish freedom in the economic sphere.

Perfectionist

If you remark that a proposal or claim should be rejected solely because it doesn’t solve the problem perfectly, in cases where perfection isn’t really required, then you’ve used the Perfectionist Fallacy.

Exemple:

You said hiring a house cleaner would solve our cleaning problems because we both have full-time jobs. Maintenant, look what happened. Every week, after cleaning the toaster oven, our house cleaner leaves it unplugged. I should never have listened to you about hiring a house cleaner.

Petitio Principii

See Begging the Question.

Poisoning the Well

Poisoning the well is a preemptive attack on a person in order to discredit their testimony or argument in advance of their giving it. A person who thereby becomes unreceptive to the testimony reasons fallaciously and has become a victim of the poisoner. This is a kind of Ad Hominem, Circumstantial Fallacy.

Exemple:

[Prosecuting attorney in court] When is the defense attorney planning to call that twice-convicted child molester, David Barnington, to the stand? D'ACCORD, I’ll rephrase that. When is the defense attorney planning to call David Barnington to the stand?

Post Hoc

Suppose we notice that an event of kind A is followed in time by an event of kind B, and then hastily leap to the conclusion that A caused B. Le cas échéant, our reasoning contains the Post Hoc Fallacy. Correlations are often good evidence of causal connection, so the fallacy occurs only when the leap to the causal conclusion is done “hastily.” The Latin term for the fallacy is Post Hoc, Ergo Propter Hoc (“After this, therefore because of this”). It is a kind of False Cause Fallacy.

Exemple:

I have noticed a pattern about all the basketball games I’ve been to this year. Every time I buy a good seat, our team wins. Every time I buy a cheap, bad seat, we lose. My buying a good seat must somehow be causing those wins.

Your background knowledge should tell you that this pattern probably won’t continue in the future; it’s just an accidental correlation that tells you nothing about the cause of your team’s wins.

Prejudicial Language

See Loaded Language.

Proof Surrogate

Substituting a distracting comment for a real proof.

Exemple:

I don’t need to tell a smart person like you that you should vote Republican.

This comment is trying to avoid a serious disagreement about whether one should vote Republican.

Prosecutor’s Fallacy

This is the mistake of over-emphasizing the strength of a piece of evidence while paying insufficient attention to the context.

Exemple:

Suppose a prosecutor is trying to gain a conviction and points to the evidence that at the scene of the burglary the police found a strand of the burglar’s hair. A forensic test showed that the burglar’s hair matches the suspect’s own hair. The forensic scientist testified that the chance of a randomly selected person producing such a match is only one in two thousand. The prosecutor concludes that the suspect has only a one in two thousand chance of being innocent. On the basis of only this evidence, the prosecutor asks the jury for a conviction.

That is fallacious reasoning, and if you are on the jury you should not be convinced. Here’s why. The prosecutor paid insufficient attention to the pool of potential suspects. Suppose that pool has six million people who could have committed the crime, toutes choses étant égales par ailleurs. If the forensic lab had tested all those people, they’d find that about one in every two thousand of them would have a hair match, but that is three thousand people. The suspect is just one of the 3000, so the suspect is very probably innocent unless the prosecutor can provide more evidence. The prosecutor over-emphasized the strength of a

piece of evidence by focusing on one suspect while paying insufficient attention to the context which suggests a pool of many more suspects.

Prosody

See the Fallacy of Accent.

Quantifier Shift

Confusing the phrase “For all x there is some y” with “There is some (un) y such that for all x.”

Exemple:

Everything has a cause, so there’s one cause of everything.

The error is also made if you argue from “Everybody loves someone” to “There is someone whom everybody loves.”

Questionable Begging

See Begging the Question

Questionable Analogy

See False Analogy.

Questionable Cause

See False Cause.

Questionable Premise

If you have sufficient background information to know that a premise is questionable or unlikely to be acceptable, then you use this fallacy if you accept an argument based on that premise. This broad category of fallacies of argumentation includes Appeal to Authority, False Dilemma, Inconsistency, Lying, Stacking the Deck, Straw Man, Suppressed Evidence, and many others.

Quibbling

We quibble when we complain about a minor point and falsely believe that this complaint somehow undermines the main point. To avoid this error, the logical reasoner will not make a mountain out of a mole hill nor take people too literally. Logic Chopping is a kind of quibbling.

Exemple:

I’ve found typographical errors in your poem, so the poem is neither inspired nor perceptive.

Quoting out of Context

If you quote someone, but select the quotation so that essential context is not available and therefore the person’s views are distorted, then you’ve quoted “out of context.” Quoting out of context in an argument creates a Straw Man Fallacy. The fallacy is also called “contextomy.”

Exemple:

Forgeron: I’ve been reading about a peculiar game in this article about vegetarianism. When we play this game, we lean out from a fourth-story window and drop down strings containing “Free food” signs on the end in order to hook unsuspecting passers-by. It’s really outrageous, isn’t it? Yet isn’t that precisely what sports fishermen do for entertainment from their fishing boats? The article says it’s time we put an end to sport fishing.

Jones: Let me quote Smith for you. He says “We…hook unsuspecting passers-by.” What sort of moral monster is this man Smith?

Jones’s selective quotation is fallacious because it makes Smith appear to advocate this immoral activity when the context makes it clear that he doesn’t.

Rationalization

We rationalize when we inauthentically offer reasons to support our claim. We are rationalizing when we give someone a reason to justify our action even though we know this reason is not really our own reason for our action, usually because the offered reason will sound better to the audience than our actual reason.

Exemple:

“I bought the matzo bread from Kroger’s Supermarket because it is the cheapest brand and I wanted to save money,” says Alex [who knows he bought the bread from Kroger’s Supermarket only because his girlfriend works there].

Red Herring

A red herring is a smelly fish that would distract even a bloodhound. It is also a digression that leads the reasoner off the track of considering only relevant information.

Exemple:

Will the new tax in Senate Bill 47 unfairly hurt business? I notice that the main provision of the bill is that the tax is higher for large employers (fifty or more employees) as opposed to small employers (six to forty-nine employees). To decide on the fairness of the bill, we must first determine whether employees who work for large employers have better working conditions than employees who work for small employers. I am ready to volunteer for a new committee to study this question. How do you suppose the committee should go about collecting the data we need?

Bringing up the issue of working conditions and the committee is the red herring diverting us from the main issue of whether Senate Bill 47 unfairly hurts business. An intentional false lead in a criminal investigation is another example of a red herring.

Refutation by Caricature

See the Fallacy of Caricaturization.

Regression

This fallacy occurs when regression to the mean is mistaken for a sign of a causal connection. Also called the Regressive Fallacy. It is a kind of False Cause Fallacy.

Exemple:

You are investigating the average heights of groups of people living in the United States. You sample some people living in Columbus, Ohio and determine their average height. You have the numerical figure for the mean height of people living in the U.S., and you notice that members of your sample from Columbus have an average height that differs from this mean. Your second sample of the same size is from people living in Dayton, Ohio. When you find that this group’s average height is closer to the U.S. mean height [as it is very likely to be due to common statistical regression to the mean], you falsely conclude that there must be something causing people living in Dayton to be more like the average U.S. resident than people living in Columbus.

There is most probably nothing causing people from Dayton to be more like the average resident of the U.S.; but rather what is happening is that averages are regressing to the mean.

Reification

Considering a word to be referring to an object, when the meaning of the word can be accounted for more mundanely without assuming the object exists. Also known as the Fallacy of Misplaced Concreteness and the Hypostatization.

Exemple:

The 19th century composer Tchaikovsky described the introduction to his Fifth Symphony as “a complete resignation before fate.”

He is treating “fate” as if it is naming some object, when it would be less misleading, but also less poetic, to say the introduction suggests that listeners will resign themselves to accepting whatever events happen to them. The Fallacy occurs also when someone says, “I succumbed to nostalgia.” Without committing the fallacy, one can make the same point by saying, “My mental state caused actions that would best be described as my reflecting an unusual desire to return to some past period of my life.” Another common way the Fallacy is used is when someone says that if you understand what “Sherlock Holmes” means, then Sherlock Holmes exists in your understanding. The larger point being made in this last example is that nouns can be meaningful without them referring to an object, yet those who use the Fallacy of Reification do not understand this point.

Reversing Causation

Drawing an improper conclusion about causation due to a causal assumption that reverses cause and effect. A kind of False Cause Fallacy.

Exemple:

All the corporate officers of Miami Electronics and Power have big boats. If you’re ever going to become an officer of MEP, you’d better get a bigger boat.

The false assumption here is that having a big boat helps cause you to be an officer in MEP, whereas the reverse is true. Being an officer causes you to have the high income that enables you to purchase a big boat.

Scapegoating

If you unfairly blame an unpopular person or group of people for a problem, then you are scapegoating. This is a kind of Fallacy of Appeal to Emotions.

Exemple:

Augurs were official diviners of ancient Rome. During the pre-Christian period, when Christians were unpopular, an augur would make a prediction for the emperor about, dire, whether a military attack would have a successful outcome. If the prediction failed to come true, the augur would not admit failure but instead would blame nearby Christians for their evil influence on his divining powers. The elimination of these Christians, the augur would claim, could restore his divining powers and help the emperor. By using this reasoning tactic, the augur was scapegoating the Christians.

Scare Tactic

If you suppose that terrorizing your opponent is giving him a reason for believing that you are correct, then you are using a scare tactic and reasoning fallaciously.

Exemple:

David: My father owns the department store that gives your newspaper fifteen percent of all its advertising revenue, so I’m sure you won’t want to publish any story of my arrest for spray painting the college.

Newspaper editor: Oui, David, I see your point. The story really isn’t newsworthy.

David has given the editor a financial reason not to publish, but he has not given a relevant reason why the story is not newsworthy. David’s tactics are scaring the editor, but it’s the editor who uses the Scare Tactic Fallacy, not David. David has merely used a scare tactic. This fallacy’s name emphasizes the cause of the fallacy rather than the error itself. See also the related Fallacy of Appeal to Emotions.

Scope

The Scope Fallacy is caused by improperly changing or misrepresenting the scope of a phrase.

Exemple:

Every concerned citizen who believes that someone living in the US is a terrorist should make a report to the authorities. But Shelley told me herself that she believes there are terrorists living in the US, yet she hasn’t made any reports. Ainsi, she must not be a concerned citizen.

The first sentence has ambiguous scope. It was probably originally meant in this sense: Every concerned citizen who believes (of someone that this person is living in the US and is a terrorist) should make a report to the authorities. But the speaker is clearly taking the sentence in its other, less plausible sense: Every concerned citizen who believes (that there is someone or other living in the US who is a terrorist) should make a report to the authorities. Scope fallacies usually are Amphibolies.

Secundum Quid

See Accident and Converse Accident, two versions of the fallacy.

Selective Attention

Improperly focusing attention on certain things and ignoring others.

Exemple:

Père: Justine, how was your school day today? Another C on the history test like last time?

Justine: Dad, I got an A- on my history test today. Isn’t that great? Only one student got an A.

Père: I see you weren’t the one with the A. And what about the math quiz?

Justine: I think I did OK, better than last time.

Père: If you really did well, you’d be sure. What I’m sure of is that today was a pretty bad day for you.

The pessimist who pays attention to all the bad news and ignores the good news thereby use the Fallacy of Selective Attention. The remedy for this fallacy is to pay attention to all the relevant evidence. The most common examples of selective attention are the fallacy of Suppressed Evidence and the fallacy of Confirmation Bias. See also the Sharpshooter’s Fallacy.

Self-Fulfilling Prophecy

The fallacy occurs when the act of prophesying will itself produce the effect that is prophesied, but the reasoner doesn’t recognize this and believes the prophesy is a significant insight.

Exemple:

A group of students are selected to be interviewed individually by the teacher. Each selected student is told that the teacher has predicted they will do significantly better in their future school work. En fait, mais, the teacher has no special information about the students and has picked the group at random. If the students believe this prediction about themselves, alors, given human psychology, it is likely that they will do better merely because of the teacher’s making the prediction.

The prediction will fulfill itself, pour ainsi dire, and the students’ reasoning contains the fallacy.

This fallacy can be dangerous in an atmosphere of potential war between nations when the leader of a nation predicts that their nation will go to war against their enemy. This prediction could very well precipitate an enemy attack because the enemy calculates that if war is inevitable then it is to their military advantage not to get caught by surprise.

Self-Selection

A Biased Generalization in which the bias is due to self-selection for membership in the sample used to make the generalization.

Exemple:

The radio announcer at a student radio station in New York asks listeners to call in and say whether they favor Jones or Smith for president. 80% of the callers favor Jones, so the announcer declares that Americans prefer Jones to Smith.

The problem here is that the callers selected themselves for membership in the sample, but clearly the sample is unlikely to be representative of Americans.

Sharpshooter’s

The Sharpshooter’s Fallacy gets its name from someone shooting a rifle at the side of the barn and then going over and drawing a target and bulls eye concentrically around the bullet hole. The fallacy is caused by overemphasizing random results or making selective use of coincidence. See the Fallacy of Selective Attention.

Exemple:

Psychic Sarah makes twenty-six predictions about what will happen next year. When one, but only one, of the predictions comes true, elle dit, “Aha! I can see into the future.”

Slanting

This error occurs when the issue is not treated fairly because of misrepresenting the evidence by, dire, suppressing part of it, or misconstruing some of it, or simply lying. See the following related fallacies: Confirmation Bias, Lying, Misrepresentation, Questionable Premise, Quoting out of Context, Straw Man, Suppressed Evidence.

Slippery Slope

Suppose someone claims that a first step (in a chain of causes and effects, or a chain of reasoning) will probably lead to a second step that in turn will probably lead to another step and so on until a final step ends in trouble. If the likelihood of the trouble occurring is exaggerated, the Slippery Slope Fallacy is present.

Exemple:

Mom: Those look like bags under your eyes. Are you getting enough sleep?

Jeff: I had a test and stayed up late studying.

Mom: You didn’t take any drugs, did you?

Jeff: Just caffeine in my coffee, like I always do.

Mom: Jeff! You know what happens when people take drugs! Pretty soon the caffeine won’t be strong enough. Then you will take something stronger, maybe someone’s diet pill. Alors, something even stronger. Finalement, you will be doing cocaine. Then you will be a crack addict! Ainsi, don’t drink that coffee.

The form of a Slippery Slope Fallacy looks like this:

A often leads to B.

B often leads to C.

C often leads to D.

…

Z leads to HELL.

We don’t want to go to HELL.

Ainsi, don’t take that first step A.

The key claim in the fallacy is that taking the first step will lead to the final, unacceptable step. Arguments of this form may or may not be fallacious depending on the probabilities involved in each step. The analyst asks how likely it is that taking the first step will lead to the final step. Par exemple, if A leads to B with a probability of 80 percent, and B leads to C with a probability of 80 percent, and C leads to D with a probability of 80 percent, is it likely that A will eventually lead to D? Non, not at all; there is about a 50% chance. The proper analysis of a slippery slope argument depends on sensitivity to such probabilistic calculations. Regarding terminology, if the chain of reasoning A, B, C, D, …, Z is about causes, then the fallacy is called the Domino Fallacy.

Small Sample

This is the fallacy of using too small a sample. If the sample is too small to provide a representative sample of the population, and if we have the background information to know that there is this problem with sample size, yet we still accept the generalization upon the sample results, then we use the fallacy. This fallacy is the Fallacy of Hasty Generalization, but it emphasizes statistical sampling techniques.

Exemple:

I’ve eaten in restaurants twice in my life, and both times I’ve gotten sick. I’ve learned one thing from these experiences: restaurants make me sick.

How big a sample do you need to avoid the fallacy? Relying on background knowledge about a population’s lack of diversity can reduce the sample size needed for the generalization. With a completely homogeneous population, a sample of one is large enough to be representative of the population; if we’ve seen one electron, we’ve seen them all. Toutefois, eating in one restaurant is not like eating in any restaurant, so far as getting sick is concerned. We cannot place a specific number on sample size below which the fallacy is produced unless we know about homogeneity of the population and the margin of error and the confidence level.

Smear Tactic

A smear tactic is an unfair characterization either of the opponent or the opponent’s position or argument. Smearing the opponent causes an Ad Hominem Fallacy. Smearing the opponent’s argument causes a Straw Man Fallacy.

Smokescreen

This fallacy occurs by offering too many details in order either to obscure the point or to cover-up counter-evidence. In the latter case it would be an example of the Fallacy of Suppressed Evidence. If you produce a smokescreen by bringing up an irrelevant issue, then you produce a Red Herring Fallacy. Sometimes called Clouding the Issue.

Exemple:

Senator, wait before you vote on Senate Bill 88. Do you realize that Delaware passed a bill on the same subject in 1932, but it was ruled unconstitutional for these twenty reasons. Let me list them here…. Aussi, before you vote on SB 88 you need to know that …. And so on.

There is no recipe to follow in distinguishing smokescreens from reasonable appeals to caution and care.

Sorites

See Line-Drawing.

Special Pleading

Special pleading is a form of inconsistency in which the reasoner doesn’t apply his or her principles consistently. It is the fallacy of applying a general principle to various situations but not applying it to a special situation that interests the arguer even though the general principle properly applies to that special situation, aussi.

Exemple:

Everyone has a duty to help the police do their job, no matter who the suspect is. That is why we must support investigations into corruption in the police department. No person is above the law. Bien sûr, if the police come knocking on my door to ask about my neighbors and the robberies in our building, I know nothing. I’m not about to rat on anybody.

In our example, the principle of helping the police is applied to investigations of police officers but not to one’s neighbors.

Specificity

Drawing an overly specific conclusion from the evidence. A kind of jumping to conclusions.

Exemple:

The trigonometry calculation came out to 5,005.6833 feet, so that’s how wide the cloud is up there.

Stacking the Deck

See Suppressed Evidence and Slanting.

Stereotyping

Using stereotypes as if they are accurate generalizations for the whole group is an error in reasoning. Stereotypes are general beliefs we use to categorize people, objets, and events; but these beliefs are overstatements that shouldn’t be taken literally. Par exemple, consider the stereotype “She’s Mexican, so she’s going to be late.” This conveys a mistaken impression of all Mexicans. D'autre part, even though most Mexicans are punctual, a German is more apt to be punctual than a Mexican, and this fact is said to be the “kernel of truth” in the stereotype. The danger in our using stereotypes is that speakers or listeners will not realize that even the best stereotypes are accurate only when taken probabilistically. En conséquence, the use of stereotypes can breed racism, sexism, and other forms of bigotry.

Exemple:

German people aren’t good at dancing our sambas. She’s German. Ainsi, she’s not going to be any good at dancing our sambas.

This argument is deductively valid, but it’s unsound because it rests on a false, stereotypical premise. The grain of truth in the stereotype is that the average German doesn’t dance sambas as well as the average South American, but to overgeneralize and presume that ALL Germans are poor samba dancers compared to South Americans is a mistake called “stereotyping.”

Straw Man

Your reasoning contains the Straw Man Fallacy whenever you attribute an easily refuted position to your opponent, one that the opponent wouldn’t endorse, and then proceed to attack the easily refuted position (the straw man) believing you have thereby undermined the opponent’s actual position. If the misrepresentation is on purpose, then the Straw Man Fallacy is caused by lying.

Exemple (a debate before the city council):

Opponent: Because of the killing and suffering of Indians that followed Columbus’s discovery of America, the City of Berkeley should declare that Columbus Day will no longer be observed in our city.

Speaker: This is ridiculous, fellow members of the city council. It’s not true that everybody who ever came to America from another country somehow oppressed the Indians. I say we should continue to observe Columbus Day, and vote down this resolution that will make the City of Berkeley the laughing stock of the nation.

The speaker has twisted what his opponent said; the opponent never said, nor even indirectly suggested, that everybody who ever came to America from another country somehow oppressed the Indians.

Style Over Substance

Unfortunately the style with which an argument is presented is sometimes taken as adding to the substance or strength of the argument.

Exemple:

You’ve just been told by the salesperson that the new Maytag is an excellent washing machine because it has a double washing cycle. If you notice that the salesperson smiled at you and was well dressed, this does not add to the quality of the salesperson’s argument, but unfortunately it does for those who are influenced by style over substance, as most of us are.

Subjectivist

The Subjectivist Fallacy occurs when it is mistakenly supposed that a good reason to reject a claim is that truth on the matter is relative to the person or group.

Exemple:

Justine has just given Jake her reasons for believing that the Devil is an imaginary evil person. Jake, not wanting to accept her conclusion, responds with, “That’s perhaps true for you, but it’s not true for me.”

Superstitious Thinking

Reasoning deserves to be called superstitious if it is based on reasons that are well known to be unacceptable, usually due to unreasonable fear of the unknown, trust in magic, or an obviously false idea of what can cause what. A belief produced by superstitious reasoning is called a superstition. The fallacy is an instance of the False Cause Fallacy.

Exemple:

I never walk under ladders; it’s bad luck.

It may be a good idea not to walk under ladders, but a proper reason to believe this is that workers on ladders occasionally drop things, and that ladders might have dripping wet paint that could damage your clothes. An improper reason for not walking under ladders is that it is bad luck to do so.

Suppressed Evidence

Intentionally failing to use information suspected of being relevant and significant is committing the fallacy of suppressed evidence. This fallacy usually occurs when the information counts against one’s own conclusion. Perhaps the arguer is not mentioning that experts have recently objected to one of his premises. The fallacy is a kind of Fallacy of Selective Attention.

Exemple:

Buying the Cray Mac 11 computer for our company was the right thing to do. It meets our company’s needs; it runs the programs we want it to run; it will be delivered quickly; and it costs much less than what we had budgeted.

This appears to be a good argument, but you’d change your assessment of the argument if you learned the speaker has intentionally suppressed the relevant evidence that the company’s Cray Mac 11 was purchased from his brother-in-law at a 30 percent higher price than it could have been purchased elsewhere, and if you learned that a recent unbiased analysis of ten comparable computers placed the Cray Mac 11 near the bottom of the list.

If the relevant information is not intentionally suppressed but rather inadvertently overlooked, the fallacy of suppressed evidence also is said to occur, although the fallacy’s name is misleading in this case. The fallacy is also called the Fallacy of Incomplete Evidence and Cherry-Picking the Evidence. See also Slanting.

Sweeping Generalization

See Fallacy of Accident.

Syllogistic

Syllogistic fallacies are kinds of invalid categorical syllogisms. This list contains the Fallacy of Undistributed Middle and the Fallacy of Four Terms, and a few others though there are a great many such formal fallacies.

Tokenism

If you interpret a merely token gesture as an adequate substitute for the real thing, you’ve been taken in by tokenism.

Exemple:

How can you call our organization racist? Après tout, our receptionist is African American.

If you accept this line of reasoning, you have been taken in by tokenism.

Traditional Wisdom

If you say or imply that a practice must be OK today simply because it has been the apparently wise practice in the past, then your reasoning contains the fallacy of traditional wisdom. Procedures that are being practiced and that have a tradition of being practiced might or might not be able to be given a good justification, but merely saying that they have been practiced in the past is not always good enough, in which case the fallacy is present. Also called Argumentum Consensus Gentium when the traditional wisdom is that of nations.

Exemple:

Of course we should buy IBM’s computer whenever we need new computers. We have been buying IBM as far back as anyone can remember.

The “of course” is the problem. The traditional wisdom of IBM being the right buy is some reason to buy IBM next time, but it’s not a good enough reason in a climate of changing products, so the “of course” indicates that the Fallacy of Traditional Wisdom has occurred. The fallacy is essentially the same as the fallacies of Appeal to the Common Practice, Gallery, Masses, Mob, Past Practice, People, Peers, and Popularity.

Tu Quoque

The Fallacy of Tu Quoque occurs in our reasoning if we conclude that someone’s argument not to perform some act must be faulty because the arguer himself or herself has performed it. De la même manière, when we point out that the arguer doesn’t practice what he or she preaches, and then suppose that there must be an error in the preaching for only this reason, then we are reasoning fallaciously and creating a Tu Quoque. This is a kind of Ad Hominem Circumstantial Fallacy.

Exemple:

Look who’s talking. You say I shouldn’t become an alcoholic because it will hurt me and my family, yet you yourself are an alcoholic, so your argument can’t be worth listening to.

Discovering that a speaker is a hypocrite is a reason to be suspicious of the speaker’s reasoning, but it is not a sufficient reason to discount it.

Two Wrongs do not Make a Right

When you defend your wrong action as being right because someone previously has acted wrongly, you are using the fallacy called “Two Wrongs do not Make a Right.” This is a special kind of Ad Hominem Fallacy.

Exemple:

Oops, no paper this morning. Somebody in our apartment building probably stole my newspaper. Ainsi, that makes it OK for me to steal one from my neighbor’s doormat while nobody else is out here in the hallway.

Undistributed Middle

In syllogistic logic, failing to distribute the middle term over at least one of the other terms is the fallacy of undistributed middle. Also called the Fallacy of Maldistributed Middle.

Exemple:

All collies are animals.

All dogs are animals.

Donc, all collies are dogs.

The middle term (“animals”) is in the predicate of both universal affirmative premises and therefore is undistributed. This formal fallacy has the logical form: All C are A. All D are A. Donc, all C are D.

Unfalsifiability

This error in explanation occurs when the explanation contains a claim that is not falsifiable, because there is no way to check on the claim. C'est, there would be no way to show the claim to be false if it were false.

Exemple:

He lied because he’s possessed by demons.

This could be the correct explanation of his lying, but there’s no way to check on whether it’s correct. You can check whether he’s twitching and moaning, but this won’t be evidence about whether a supernatural force is controlling his body. The claim that he’s possessed can’t be verified if it’s true, and it can’t be falsified if it’s false. Ainsi, the claim is too odd to be relied upon for an explanation of his lying. Relying on the claim is an instance of fallacious reasoning.

Unrepresentative Generalization

If the plants on my plate are not representative of all plants, then the following generalization should not be trusted.

Exemple:

Each plant on my plate is edible.

Ainsi, all plants are edible.

The set of plants on my plate is called “the sample” in the technical vocabulary of statistics, and the set of all plants is called “the target population.” If you are going to generalize on a sample, then you want your sample to be representative of the target population, c'est, to be like it in the relevant respects. This fallacy is the same as the Fallacy of Unrepresentative Sample.

Unrepresentative Sample

If the means of collecting the sample from the population are likely to produce a sample that is unrepresentative of the population, then a generalization upon the sample data is an inference using the fallacy of unrepresentative sample. A kind of Hasty Generalization. When some of the statistical evidence is expected to be relevant to the results but is hidden or overlooked, the fallacy is called Suppressed Evidence. There are many ways to bias a sample. Knowingly selecting atypical members of the population produces a biased sample.

Exemple:

The two men in the matching green suits that I met at the Star Trek Convention in Las Vegas had a terrible fear of cats. I remember their saying they were from France. I’ve never met anyone else from France, so I suppose everyone there has a terrible fear of cats.

Most people’s background information is sufficient to tell them that people at this sort of convention are unlikely to be representative, c'est, are likely to be atypical members of the rest of society. Having a small sample does not by itself cause the sample to be biased. Small samples are OK if there is a corresponding large margin of error or low confidence level.

Large samples can be unrepresentative, aussi.

Exemple:

We’ve polled over 400,000 Southern Baptists and asked them whether the best religion in the world is Southern Baptist. We have over 99% agreement, which proves our point about which religion is best.

Getting a larger sample size does not overcome sampling bias.

Untestability

See Unfalsifiability.

Vested Interest

The Vested Interest Fallacy occurs when a person argues that someone’s claim is incorrect or their recommended action is not worthy of being followed because the person is motivated by their interest in gaining something by it, with the implication that were it not for this vested interest then the person wouldn’t make the claim or recommend the action. Because this reasoning attacks the reasoner rather than the reasoning itself, it is a kind of Ad Hominem fallacy.

Exemple:

According to Samantha we all should vote for Anderson for Congress. Yet she’s a lobbyist in the pay of Anderson and will get a nice job in the capitol if he’s elected, so that convinces me that she is giving bad advice.

This is fallacious reasoning by the speaker because whether Samantha is giving good advice about Anderson ought to depend on Anderson’s qualifications, not on whether Samantha will or won’t get a nice job if he’s elected.

Victory by Definition

Same as the fallacy of Persuasive Definition.

Weak Analogy

See False Analogy.

Willed ignorance

I’ve got my mind made up, so don’t confuse me with the facts. This is usually a case of the Traditional Wisdom Fallacy.

Exemple:

Of course she’s made a mistake. We’ve always had meat and potatoes for dinner, and our ancestors have always had meat and potatoes for dinner, and so nobody knows what they’re talking about when they start saying meat and potatoes are bad for us.

Wishful Thinking

A reasoner who suggests that a claim is true, ou faux, merely because he or she strongly hopes it is, is using the fallacy of wishful thinking. Wishing something is true is not a relevant reason for claiming that it is actually true.

Exemple:

There’s got to be an error here in the history book. It says Thomas Jefferson had slaves. I don’t believe it. He was our best president, and a good president would never do such a thing. That would be awful.

You-Too

This is an informal name for the Tu Quoque fallacy.

7. Références et lectures complémentaires
Eemeren, Frans H. van, R. F. Grootendorst, F. S. Henkemans, J. UN. Blair, R. H. Johnson, E. C. O. Crabe, C. O. Plantin, D. N. Walton, C. UN. Willard, J. UN. les bois, et D. F. Zarefsky, 1996. Fundamentals of Argumentation Theory: A Handbook of Historical Backgrounds and Contemporary Developments. Mahwah, New Jersey, Lawrence Erlbaum Associates, Éditeurs.
Fearnside, O. Ward and William B. Holther, 1959. Fallacy: The Counterfeit of Argument. Prentice-Hall, Inc.. Englewood Cliffs, New Jersey.
Fischer, David Hackett., 1970. Historian’s Fallacies: Toward Logic of Historical Thought. New York, Harper & Rangée, New York, N.Y.
This book contains additional fallacies to those in this article, but they are much less common, and many have obscure names.
Groarke, Leo and C. Tindale, 2003. Good Reasoning Matters! 3rd edition, Toronto, Presse universitaire d'Oxford.
Hamblin, Charles L., 1970. Fallacies. Londres, Methuen.
Hansen, Has V. and R. C. Pinto., 1995. Fallacies: Classical and Contemporary Readings. Parc universitaire, Presse de l'Université d'État de Pennsylvanie.
Huff, Darrell, 1954. How to Lie with Statistics. New York, O. O. Norton.
Levi, D. S., 1994. “Begging What is at Issue in the Argument,” Argumentation, 8, 265-282.
Schwartz, Thomas, 1981. “Logic as a Liberal Art,” Teaching Philosophy 4, 231-247.
Walton, Douglas N., 1989. Informal Logic: A Handbook for Critical Argumentation. Cambridge, la presse de l'Universite de Cambridge.
Walton, Douglas N., 1995. A Pragmatic Theory of Fallacy. Tuscaloosa, University of Alabama Press.
Walton, Douglas N., 1997. Appeal to Expert Opinion: Arguments from Authority. Parc universitaire, Presse de l'Université d'État de Pennsylvanie.
Whately, Richard, 1836. Elements of Logic. New York, Jackson.
les bois, John and D. N. Walton, 1989. Fallacies: Selected Papers 1972-1982. Dordrecht, Hollande, Foris.

Research on the fallacies of informal logic is regularly published in the following journals: Argumentation, Argumentation and Advocacy, Informal Logic, Philosophy and Rhetoric, and Teaching Philosophy.

Informations sur l’auteur

Bradley Dowden
Messagerie: [email protected]
Université d'État de Californie, Sacramento
tu. S. UN.