Logical Persuasion Techniques
Techniques based on logical reasoning, argumentation, and evidence presentation. Includes both valid reasoning strategies and common logical fallacies used persuasively.
101 techniques in this category
Tu Quoque
Deflecting criticism by pointing out that the critic has done the same thing, without actually addressing whether the criticism is valid.
Genetic Fallacy
Judging the truth or value of an argument based on its origin rather than its actual content, evidence, or logical structure.
Equivocation
Using a word or phrase with multiple meanings in different parts of an argument, creating the illusion of logical connection where none exists.
Begging the Question
An argument where the conclusion is assumed in one of the premises, creating a circular logic that proves nothing.
Appeal to Ignorance
Claiming that something is true because it hasn't been proven false, or false because it hasn't been proven true.
Hasty Generalization
Drawing broad conclusions from a small, unrepresentative sample — assuming what's true of a few cases is true in general.
Composition/Division Fallacy
Assuming that what is true of the parts must be true of the whole (composition), or what is true of the whole must be true of each part (division).
Post Hoc Ergo Propter Hoc
Assuming that because one event followed another, the first event caused the second — confusing sequence with causation.
No True Scotsman
Protecting a universal claim by dismissing counterexamples as not being "true" members of the group — retroactively redefining the category to exclude inconvenient evidence.
Circular Reasoning
An argument structure where the conclusion is used as one of its own premises, creating a loop that proves nothing.
Appeal to Consequences
Arguing that something must be true (or false) because the consequences of it being true would be desirable (or undesirable).
Burden of Proof Shifting
Demanding that others disprove your unsubstantiated claim rather than providing evidence for it yourself.
Middle Ground Fallacy
Assuming that the truth must lie between two opposing positions — that compromise is inherently correct regardless of the merits of each position.
Nirvana Fallacy
Rejecting practical solutions because they are not perfect — comparing real options against an unattainable ideal to make them seem inadequate.
Texas Sharpshooter
Cherry-picking data clusters after the fact to create the appearance of a meaningful pattern — like painting a target around bullet holes.
Gish Gallop
Overwhelming an opponent with a rapid series of many weak or dubious arguments, making it impossible to adequately address each one.
Motte and Bailey
Defending a controversial position (the bailey) by retreating to a much more defensible position (the motte) when challenged, then returning to the controversial position once pressure subsides.
Kafka Trap
A rhetorical trap where any denial of guilt is used as further evidence of guilt, making the accusation unfalsifiable.
Thought-Terminating Cliche
Using stock phrases and platitudes to shut down critical thinking and end uncomfortable lines of inquiry without actually addressing them.
Special Pleading
Applying rules, standards, or criticism to others while claiming an exemption for yourself without adequate justification.
Appeal to Force (Argumentum ad Baculum)
Substituting a threat — of harm, loss, punishment, or exclusion — for a reason, so the listener accepts a claim or complies because of what will happen to them rather than because the claim is true.
False Analogy
Arguing that because two things share some features they must share the feature in dispute, when the shared features are irrelevant to that conclusion or the differences are decisive.
False Cause (Non Causa pro Causa)
Treating one thing as the cause of another on the strength of correlation, sequence, or narrative fit, without ruling out chance, reverse causation, or a shared cause.
Single-Cause Fallacy (Causal Oversimplification)
Presenting one factor as the cause of an outcome that has several jointly necessary or contributing causes, so the audience accepts a single villain, a single hero, or a single fix.
Fallacy Fallacy (Argument from Fallacy)
Concluding that a claim is false because an argument offered for it was fallacious — treating the failure of one argument as a refutation of its conclusion.
Historians' Fallacy
Judging a past decision as if the decision-maker had the information, framing, and outcome knowledge that only became available afterward — treating what is obvious in hindsight as having been obvious at the time.
Moralistic Fallacy
Inferring what is the case from what ought to be the case — concluding that a factual claim must be false because its truth would be morally unwelcome, or true because it would be morally convenient.
Naturalistic Fallacy and the Is-Ought Gap
Two related errors that are often run together: deriving a value conclusion (ought) from purely factual premises (is) with no bridging value premise, and defining “good” as some natural property such as pleasant, evolved, or natural.
Argument from Incredulity
Treating one's own inability to imagine or understand how something could be true as evidence that it is false — or, in the mirror form, that a preferred alternative must be true.
Argument from Silence
Concluding that something did not happen, or that someone does not hold a view, because a source that might have mentioned it does not — treating the absence of a record as a record of absence without showing that the record would exist if the thing were true.
Guilt by Association
Discrediting a claim or a person by linking them to a disreputable individual, group, or idea, so that the audience transfers its disapproval of the associate to the target without any argument about the claim itself.
Honor by Association
Lending a claim, product, or person unearned credibility by attaching it to something the audience already admires — a celebrity, a flag, a prestigious institution, a respected thinker — so that approval transfers without any argument that the admired thing bears on the claim.
Reductio ad Hitlerum
Dismissing a view, practice, or policy by comparing it to Hitler or the Nazis — arguing that because the Nazis held or did something, anyone who holds or does it is thereby refuted — without showing that the shared feature is what made Nazism evil.
Contextomy (Quote Mining)
Excerpting a passage so that the quoted words carry a meaning the surrounding text contradicts or qualifies away — the words are real, but the claim they now make is not the author's.
False Equivalence
Treating two things as equivalent — in kind, degree, or moral weight — because they share some feature, while ignoring differences of scale, intent, evidence, or consequence that make the comparison misleading.
Slothful Induction
Refusing to draw the conclusion that a body of evidence strongly supports — attributing every instance to coincidence, error, or “not proven” — so that no amount of evidence is ever enough. The mirror image of hasty generalization.
Continuum Fallacy
Arguing that because there is no sharp line between two states along a continuum, there is no real difference between them — or that any line drawn is arbitrary and therefore illegitimate.
Definist Fallacy (Persuasive Definition)
Winning an argument at the definition stage: defining a contested term so that the desired conclusion follows from the definition alone, or so that the opponent's position is excluded by stipulation rather than by evidence.
Etymological Fallacy
Arguing that a word's true or proper meaning is its original or root meaning, so that a claim about what the word “really” means is treated as settling a claim about the thing it names.
Anecdotal Fallacy
Using a personal story or an isolated case as evidence for a general claim, in place of — or in defiance of — systematic data about the population the claim concerns.
Misleading Vividness
Presenting a small number of dramatic, concrete, or emotionally charged cases so that they outweigh statistically stronger but duller evidence about how common or serious something actually is.
Proof by Assertion
Treating repetition of a claim — often with mounting confidence — as though it were evidence for it, so that the claim comes to feel established because it has been heard many times, not because anything was ever shown.
Galileo Gambit
Arguing that a claim is likely true because it is rejected or mocked by the establishment, on the ground that great innovators were also rejected — inferring vindication from opposition.
Appeal to Spite
Persuading someone to accept a claim or take an action by arousing their resentment toward a third party, so that the wish to see that party lose replaces any reason bearing on the claim itself.
Wishful Thinking
Accepting a claim because one wants it to be true, or rejecting it because one wants it to be false, with the desire doing the work that evidence should.
Two Wrongs Make a Right
Justifying a wrong action by pointing to a comparable wrong committed by someone else — usually the accuser or the victim — as if the earlier wrong licensed the later one.
Bulverism
Assuming without argument that an opponent is wrong, then explaining why they came to hold their view by reference to their psychology, class, upbringing, or interests — so that an explanation of the belief is passed off as a refutation of it.
Loki's Wager
Refusing to accept a conclusion, or to let a discussion proceed, on the ground that a key term cannot be defined with perfect precision — so that the impossibility of an exact boundary is used to deny that any judgment can be made.
Package-Deal Fallacy
Treating things that are only contingently bundled — positions, products, traits, or policies — as if they were logically inseparable, so that accepting one obliges you to accept the rest, or rejecting one discredits the rest.
Chewbacca Defense
Defeating an argument not by answering it but by burying it under irrelevant, confusing, or absurd material until the audience loses the thread and defaults to doubt — a pop-culture name for weaponized irrelevance.
Non Sequitur
An argument whose conclusion does not follow from its premises — the premises may be true and relevant-sounding, yet nothing in them supports the conclusion drawn. The genus of which most formal fallacies are species.
Denying the Antecedent
A formal fallacy: from “if P then Q” and “not P,” concluding “not Q” — treating a sufficient condition as if it were also necessary.
Affirming the Consequent
A formal fallacy: from “if P then Q” and “Q,” concluding “P” — treating the occurrence of a predicted consequence as proof of the hypothesis that predicted it, when other hypotheses predict the same thing.
Affirming a Disjunct
A formal fallacy: from “P or Q” and “P,” concluding “not Q” — treating an inclusive “or” (at least one) as if it were exclusive (exactly one), so that establishing one alternative is taken to rule out the other.
Quantifier Shift
A formal fallacy of scope: sliding from “for every X there is some Y” to “there is some Y for every X” — from “everyone has someone they trust” to “there is someone everyone trusts.”
Masked-Man Fallacy
A formal fallacy of substitution: concluding that two things are not identical because something is known or believed about one and not the other — “I know who my father is; I do not know who the masked man is; therefore the masked man is not my father.”
Appeal to Probability
Treating something as certain, or as having happened, because it is possible or has some probability — “it could happen, so it will,” or “it could have happened, so it did.”
Appeal to Accomplishment
Treating a person's achievements — or a critic's lack of them — as settling the truth of a claim: “she built a billion-dollar company, so her view on the pandemic is right,” or “you have never run anything, so you cannot criticize.”
Appeal to Ridicule
Presenting an opponent's position as absurd or laughable — through mockery, caricature, or a derisive restatement — so that the audience rejects it without the position ever being answered.
Style over Substance
Judging a claim by the manner of its delivery — confidence, fluency, polish, vocabulary, appearance, production values — rather than by its content, or presenting it so that the manner does the persuading.
Appeal to Novelty
Arguing that something is better, truer, or more reliable because it is new, modern, or the latest — the mirror image of the appeal to tradition, with the same missing premise.
Appeal to Wealth
Treating wealth as evidence of correctness — a rich person's claim is more credible, a well-funded position more likely true, an expensive product better — or treating poverty as evidence of the reverse.
Appeal to Poverty
Treating poverty, humble origins, or lack of resources as evidence that a person's claims are true or their character sound — the honest working man, the authentic voice of the street — or treating wealth as disqualifying.
Ambiguity Fallacy (Amphiboly and Equivocation)
Exploiting a word or sentence that can be read in more than one way — by equivocation (one word, two meanings), amphiboly (one sentence, two structures), or vagueness — so that a claim is true on one reading and persuasive on another.
Fallacy of Accent
Changing the meaning of a statement by changing which word or part is emphasized — through stress, italics, headline size, scare quotes, selective capitalization, or audio editing — so that a sentence that is true as written becomes misleading as delivered.
Circumstantial Ad Hominem
Dismissing a claim by pointing to the circumstances of the person making it — their job, funding, affiliations, or interests — as if a motive to say something were evidence that it is false.
Appeal to the Stone
Dismissing a claim as absurd or obviously false without offering any argument against it — the refusal to engage presented as a refutation.
False Attribution
Supporting a claim by citing a source that is fabricated, misidentified, unqualified, or misrepresented — a quotation the person never said, a study that does not exist or does not say that, an authority who is not one — so that the claim borrows credibility it has not earned.
Furtive Fallacy
Assuming that significant events must be the product of hidden, deliberate, and usually malign agency — that what matters is what was concealed — so that ordinary causes (error, accident, incentive, drift) are dismissed and a secret plan is inferred from the outcome.
Ludic Fallacy
Treating real-world uncertainty as if it were the well-defined, known-odds uncertainty of a casino game — modeling risk with tidy probability distributions and then trusting the model where the world does not follow its rules.
Relative vs. Absolute Risk
Reporting a change in risk as a ratio (“halves the risk”, “40 percent more likely”) without the base rates it is a ratio of, so that a tiny absolute change reads as large — or, run the other way, a large one reads as trivial.
Truncated Axis
Starting a bar chart's value axis above zero, or stretching or compressing a line chart's range, so that the visual size of a difference no longer matches its numerical size.
Cherry-Picked Time Window
Choosing the start and end points of a data series after looking at the data, so that the visible span shows the rise, fall or flat line the presenter wants and a longer or shifted window would contradict.
Denominator Neglect
Presenting a count or a numerator — “300 deaths”, “nine winning tickets” — without the total it comes out of, or choosing a ratio format because the audience will weigh the top number and ignore the bottom one.
Base-Rate Neglect
Presenting individuating information — a test result, a profile, a vivid description — without the prior frequency of the thing in question, so the audience judges by resemblance and ignores how rare or common it actually is.
Survivorship Bias
Presenting the cases that made it through a selection process — the funds still open, the firms still trading, the founders on stage — as if they were the whole population, when the failures that would change the answer have been removed from view.
Simpson's Paradox
A pattern that holds in every subgroup of the data reverses or vanishes when the subgroups are combined, so the same numbers support opposite conclusions depending on whether they are shown aggregated or broken down.
Berkson's Paradox
A spurious association between two traits created by studying only cases that passed a filter depending on either trait — hospital patients, admitted students, funded start-ups — so a pattern appears in the sample that does not exist in the population.
Regression-to-the-Mean Fallacy
Claiming credit for, or assigning blame to, an intervention because an extreme measurement moved back toward normal afterward, when part of the extreme was chance and the movement would have happened with no intervention at all.
P-Hacking
Trying many analytic choices — outcomes, subgroups, covariates, exclusions, stopping rules — and reporting the one that crossed the significance threshold as though it were the only test planned.
Misleading Averages
Reporting a single “average” — a mean, median or mode chosen for effect, or a mean of a skewed, lumpy or oddly weighted distribution — so that the number describes almost nobody while the audience assumes it describes the typical case.
Percentage of a Percentage
Describing a change in a rate that is itself a percentage either as a relative percentage change or in percentage points, whichever makes the movement sound larger or smaller — “a 25 percent jump” or “one point” for the same move from 4 to 5 percent.
Small-Sample Hype
Presenting a result from a handful of cases — a pilot study, a poll subgroup, a survey of a few dozen — with the confidence appropriate to a large one, relying on the audience's intuition that small samples resemble the populations they come from.
Confounding Variable Omission
Presenting a correlation as evidence that one thing causes another while leaving out a third factor that drives both, so the audience accepts a causal story the data cannot support.
Ecological Fallacy
Inferring what is true of individuals from statistics about the groups or places they belong to — a state, a county, a neighborhood — when the individual-level relationship can be weaker, absent or reversed.
McNamara Fallacy
Treating what can be easily measured as what matters and what cannot be measured as unimportant or nonexistent, so that a favorable number is presented as proof of success while the unmeasured reality goes the other way.
Gambler's Fallacy
Treating independent random events as if they were self-correcting — a number that has not come up is “due”, a streak must end — and selling, betting or arguing on the strength of that expectation.
Conjunction Fallacy
Adding specific, plausible details to a claim so that the more detailed version feels more probable than the simpler claim it contains, when every added detail can only make it less likely.
False Precision
Reporting a figure to more digits than the method could justify — a death toll to the last person, a share of jobs to the percentage point, a phone “at” a ballot box — so that specificity is read as accuracy and the uncertainty disappears.
Per Capita vs. Total
Choosing between a raw total and a rate per person — or per mile, per dose, per unit of output — according to which ranking makes the point, when the two orderings differ because the populations differ.
Dual-Axis Chart
Plotting two series against two separately scaled vertical axes on one chart, so that by choosing the scales the designer can make the lines cross, converge, track each other or diverge wherever the argument needs them to.
Cumulative Graph Trick
Plotting a running total instead of the per-period figure, so that the line can only rise and a slowdown, a decline or a collapse in the underlying rate appears as a still-climbing curve.
Pictogram Scaling
Representing quantities with pictures — moneybags, barrels, people — scaled by height, so that doubling the number produces a picture four times the area and, in perspective, eight times the volume, which is what the eye reads.
Selective Baseline
Choosing the reference point against which a change is measured — the comparison year, the index date, the “before” of a before-and-after — after seeing which one makes the change look largest, smallest or reversed.
Misleading Map
Using the geography of a map — area, projection, color breaks, raw counts by region — to imply a distribution of people, votes or risk that the land does not carry, so that empty space reads as a majority and dense space disappears.
Large-Number Innumeracy
Presenting a million, a billion or a trillion — or any figure beyond everyday experience — without a scale, a per-person figure or a comparison, so the audience reacts to the word rather than the size and can be steered to read it as enormous or as trivial.
Extrapolation Fallacy
Extending a trend beyond the range of the data as if the process behind it had no limits, and presenting the extended line as a forecast — “at this rate” — when nothing in the data says the rate will hold.
Prosecutor's Fallacy
Presenting the probability of the evidence given innocence — “only one person in a million would match” — as if it were the probability of innocence given the evidence, so that a rare coincidence is heard as near-certain guilt.
Defense Attorney's Fallacy
Arguing that because many people share an incriminating characteristic — “a million people match, so the odds he did it are one in a million” — the evidence is worthless, ignoring that it narrowed the field enormously and that other evidence combines with it.
Mortality vs. Survival Framing
Describing the same outcome as a survival rate or a mortality rate — “90 percent survive” or “1 in 10 die” — and, in screening claims, quoting five-year survival, which rises with earlier detection even when no one lives a day longer.
Number Needed to Treat Omission
Advertising or reporting a treatment's benefit in a form — a relative reduction, a “36 percent” — from which the audience cannot recover how many people must be treated for one to benefit, and leaving out the matching number for harm.