Home › Cognitive Biases › Illusory Truth Effect

Illusory Truth Effect: Why a Repeated Claim Starts to Feel True

A six-statement warm-up, then twelve statements to rate from certainly false to certainly true. Six of the twelve are the ones you just saw. The page compares your two averages with what Hasher, Goldstein and Toppino found in 1977 and what Fazio and colleagues found in 2015.

About 3 minutesRuns in your browser4 sources cited
Illusory truth effect: a host repeats the same gesture down a dinner table as listeners shift from doubtful to convinced.

Try it before you read

Rating taskAbout 3 minutesNothing stored

Illusory Truth Effect: try it on yourself

Eighteen short screens, one slider each. The first six ask how interesting a trivia statement is; the next twelve ask how likely each statement is to be true. Six of the twelve are the warm-up statements again. Nothing you type is stored, and the page compares your two averages at the end.

At the end you see your own result next to the figure from Fazio, and how visitors so far compare.

In short

The illusory truth effect is the tendency to rate a statement as more likely to be true after having encountered it before, whether or not it is true and whether or not you know better. It shows up in advertising slogans, political talking points, rumors that circulate for weeks, health claims repeated across websites, and in the quiet way a classroom myth survives because every teacher has heard it.

How the illusory truth effect works

A statement that has been met before is easier to read, easier to understand and quicker to make sense of than one that is new, and that ease is felt as a quality of the statement rather than of the reader. The standard account is that people use this processing fluency as a cue to truth. True statements are, on the whole, encountered more often than false ones, so the cue is not foolish; but it fires for anything that has been repeated, and a reader who does not remember the earlier encounter cannot discount it. The feeling that a claim rings true is often the feeling of having heard it before.

The effect does not depend on believing the source, remembering the source, or even noticing the repetition. It has been found when statements are attributed to untrustworthy speakers, when the earlier exposure happened in a different task, and when participants are warned that some of what they will read is false. Dechêne, Stahl, Hansen and Wänke's 2010 meta-analysis of 51 studies found the effect reliably whether measured as the rise in a statement's rating from one encounter to the next or as the gap between repeated and new statements at test, with the second kind of comparison, the one the demo above uses, giving the larger effect.

Until 2015 the usual assumption was that knowledge protects: repeating a statement you know to be false, the thinking went, cannot make you believe it. Fazio, Brashier, Payne and Marsh tested that directly and found that it is not so. Repetition raised truth ratings for statements that contradicted well-known facts, such as the Atlantic being the largest ocean, even among people who could answer the underlying question correctly afterwards. Knowledge reduces the ratings overall, so known falsehoods are still rated as less true than unknown ones, but repetition shifts both by about the same amount. The authors called this knowledge neglect: when a statement feels fluent, people often do not consult what they know.

Two limits matter for reading the demo above. The effect is an average shift in judged likelihood, not a conversion from disbelief to belief, and a few points of difference between your two averages is the kind of shift the studies measure. And the demo rates each statement once, so your gap cannot separate repetition from any difference between the two sets of statements, which are twelve different statements rather than one statement in two forms; the evidence that repetition is the cause comes from the studies, which counterbalanced which statements were repeated.

Six of the twelve statements in the rating round are false, and a page about repetition installing a falsehood owes its readers the corrections. Ottawa, not Toronto, is the capital of Canada; Canberra, not Sydney, is the capital of Australia; peanuts grow underground and cashews grow on trees; bats can see; and a goldfish remembers for far longer than a few seconds.

The original study

Lynn Hasher, David Goldstein and Thomas Toppino published "Frequency and the conference of referential validity" in the Journal of Verbal Learning and Verbal Behavior in 1977. Forty college students rated how certain they were that each of 60 statements was true or false, on a seven-point scale, on three occasions two weeks apart. The statements were plausible items of general knowledge, some true and some false. Twenty of the statements appeared in all three sessions; the other 40 in each session were new.

The repeated statements were rated more valid at each successive session, and the new statements were not. The rise appeared for true and false statements alike. The authors concluded that the frequency with which a statement is encountered confers a kind of validity on it, independent of its content.

Fazio, Brashier, Payne and Marsh's 2015 experiment, published in the Journal of Experimental Psychology: General, is the design the demo on this page follows. Forty Duke University students first rated 88 statements for how interesting they were, with truth not mentioned as a task, and then rated 176 statements, the 88 repeats and 88 new ones, for truth on a six-point scale. The set mixed true and false statements, and the false ones, whose ratings are the figures reported here, were divided between statements that contradicted facts most people know and statements that contradicted obscure facts. Repeated falsehoods received a mean truth rating of 3.53 against 3.26 for new falsehoods, and the gap was about the same for statements whose underlying fact the student answered correctly in a knowledge check afterwards (2.93 against 2.59) as for statements they did not know (4.13 against 3.92). A second experiment used multinomial modeling to show that participants sometimes relied on fluency even when the relevant knowledge was available to them.

Everyday examples

Repetition is the cheapest tool of persuasion, which is why the effect is everywhere. The rows below are illustrations, not findings from the studies cited on this page.

SituationWhat the bias doesWhat helps
A slogan claims a product is clinically proven, in every ad for a yearShoppers who have never seen a study rate the claim as probably trueAsk what the study was and who ran it; a claim's familiarity is not a source
A rumor about a colleague circulates in three group chatsHearing it the third time feels like confirmation, though all three chats have the same sourceTrace the claim back to its first appearance and count the independent sources
A political claim is repeated in speeches and then repeated by fact-checkers correcting itThe correction restates the claim, and the claim gains fluency from bothLead with the true fact and mention the false one as little as possible
A student rereads a textbook sentence that is misprintedBy the third reading the error reads as factCheck against a second source, especially for anything that feels obvious
A health claim appears on several websites that copied each otherEach site adds to the sense that the claim is establishedLook for the original study rather than the number of sites repeating it

How to counter it

Fluency cannot be switched off, so the counter-measures work by adding a second check that fluency does not supply.

  • Ask where you first heard it. If the answer is nowhere in particular, the feeling of truth is probably the feeling of familiarity.
  • Count sources, not repetitions. Three outlets repeating one press release are one source.
  • Check against what you know, on purpose. The 2015 experiment showed that knowledge does not protect automatically, but Brashier, Eliseev and Marsh found in 2020 that asking people to rate truth at first exposure prevented the effect for statements whose facts they knew, because it made them consult their knowledge while the statement was still new.
  • When correcting a false claim, repeat it as little as possible. State the true fact first and most often; the correction's job is to make the truth the familiar version.
  • Be slowest with the claims that feel most obvious. That feeling is what the effect produces.

What it is not

The illusory truth effect is one of several effects of repetition and familiarity, and it is often confused with its neighbors.

  • It is not the mere exposure effect, in which repeated contact with something makes it better liked. Both run on familiarity, but mere exposure changes liking and illusory truth changes judged truth; a repeated jingle can be annoying and still make its claim feel true.
  • It is not the continued influence effect, in which a piece of misinformation keeps shaping reasoning after it has been corrected. That effect is about corrections failing to remove a claim; illusory truth is about repetition installing one.
  • It is not the availability heuristic, which judges how common something is by how easily examples come to mind. Repetition makes examples available, so the two travel together, but availability is a judgment of frequency and illusory truth a judgment of fact.

Tests and tools that use this

Related biases

Illusory Truth Effect FAQ

What is the illusory truth effect?

It is the finding that people rate a statement as more likely to be true after they have encountered it before, whether or not it is true. Hasher, Goldstein and Toppino showed it in 1977 by having students rate trivia statements in three sessions two weeks apart: the statements repeated in every session were rated more valid each time, true and false alike, while new statements were not. The usual explanation is that repetition makes a statement easier to process, and that ease is read as truth.

Does knowing the facts protect against the illusory truth effect?

Less than people assume. Fazio, Brashier, Payne and Marsh found in 2015 that repetition raised truth ratings for statements contradicting well-known facts, even among participants who could answer the underlying question correctly afterwards. Known falsehoods were still rated less true than unknown ones, so knowledge helps, but the lift from repetition was about the same size in both cases. The authors called the pattern knowledge neglect: people with the right knowledge often do not consult it when a statement feels fluent.

How does the demo on this page test the effect?

You rated six statements for interest, then twelve for truth, six of which were the warm-up statements. The page compares your average for the repeated six with your average for the new six. Six of the twelve are false: Ottawa is Canada's capital, Canberra is Australia's, peanuts grow underground, cashews grow on trees, bats can see, and goldfish remember for far longer than seconds. One person's two averages cannot separate repetition from differences between the statements, so the page reports a gap and not an error.

Why does repetition make things seem true?

The leading account is processing fluency. A statement met before is read and understood more easily than a new one, and people use that ease as a rough cue to truth, because true things are on the whole encountered more often than false ones. The cue misfires when something false has simply been repeated. The effect appears even when people are told that some statements are false and even when they do not remember the earlier encounter.

How big is the illusory truth effect?

It is a shift in judged likelihood rather than a switch from disbelief to belief. In the 2015 experiment the gap between repeated and new false statements was about a quarter of a point on a six-point scale. Dechêne and colleagues' 2010 meta-analysis of 51 studies found the effect reliable across designs and larger when repeated statements are compared with new ones at the same test, as on this page, than when a statement's own rating is compared across two encounters.

How can fact-checkers avoid strengthening a false claim?

By repeating the claim as little as possible and the correction as much as possible. A correction that restates the falsehood in its headline gives the falsehood another exposure. Leading with the true fact, saying plainly that the claim is false, and explaining why, makes the truth the familiar version. For readers, the useful habit is to ask where a claim was first encountered and how many independent sources stand behind it, rather than how many times it has been heard.

References

  1. Hasher, L., Goldstein, D., & Toppino, T. (1977). Frequency and the conference of referential validity. Journal of Verbal Learning and Verbal Behavior, 16(1), 107-112. doi.org
  2. Fazio, L. K., Brashier, N. M., Payne, B. K., & Marsh, E. J. (2015). Knowledge does not protect against illusory truth. Journal of Experimental Psychology: General, 144(5), 993-1002. doi.org
  3. Dechêne, A., Stahl, C., Hansen, J., & Wänke, M. (2010). The truth about the truth: A meta-analytic review of the truth effect. Personality and Social Psychology Review, 14(2), 238-257. doi.org
  4. Brashier, N. M., Eliseev, E. D., & Marsh, E. J. (2020). An initial accuracy focus prevents illusory truth. Cognition, 194, 104054. doi.org

Cite this source

Psychology.com. (2026, October 21). Illusory Truth Effect. Psychology.com. https://psychology.com/biases/illusory-truth-effect

Important: This page and its demo are educational: they describe a pattern in how people think, not a diagnosis, a test of ability or a treatment. If something here touches a difficulty you are living with, reach out to a licensed mental-health professional. In an emergency, call your local emergency number or, in the US, call or text 988.