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Cognitive Biases: The Codex of 187 Ways the Mind Takes Shortcuts

The 187 biases of the Cognitive Bias Codex, sorted by the problem the mind is solving when it takes the shortcut. Each page starts with a short demo that lets you feel the bias before explaining it.

187 biases187 interactive demosOne to four minutes each
Cognitive biases: a shopper confidently grabs a jar from an eye-level display, ignoring the same jar shelved below.

In short

A cognitive bias is a systematic pattern in how people judge, remember and decide that departs from what the evidence or the arithmetic would support. The patterns are not random errors: each one is a shortcut that solves a real problem most of the time and fails in a predictable way the rest of the time.

Common cognitive biases with examples

The fifteen biases below are the ones people search for and meet most often. A heuristic is the shortcut itself, a fast rule that usually works; a bias is the predictable error the shortcut produces when it does not. Every row links to a page with a short demo, the original study and what helps. The 187 further down is the number of entries in this Codex, aliases and related effects included, not a settled count of distinct biases.

BiasWhat it doesEveryday example
Confirmation biasSeeks out and remembers evidence that fits what you already believe, and skips the rest.Searching "does this supplement work" and reading only the pages that say yes.
AnchoringA number seen first pulls later estimates toward it, even when the number is arbitrary.A "was $120" tag makes $80 feel like a bargain.
Availability heuristicJudges how common or likely something is by how easily examples come to mind.Fearing a flight more than the drive to the airport after a week of crash headlines.
Sunk cost fallacyKeeps a course of action going because of what has already been spent on it.Sitting through a bad film because the ticket was paid for.
Dunning-Kruger effectPeople with the least skill in a domain rate themselves well above their actual level.A first-month chess player rating their game as above average.
Halo effectOne favorable impression, such as warmth or good looks, spreads to unrelated qualities.A confident presenter is assumed to be right about the numbers.
Hindsight biasOnce an outcome is known, it looks far more predictable than it was beforehand."I knew that stock would fall" after it fell.
Fundamental attribution errorExplains other people's behavior by their character while overlooking the situation.The driver who cut you off is a jerk, not someone racing to a hospital.
Survivorship biasDraws conclusions from the cases that made it through and forgets the ones that did not.Copying the habits of famous dropouts without counting the dropouts who failed.
Loss aversionA loss weighs more in a decision than a gain of the same size.Turning down a coin flip that pays $150 on heads and costs $100 on tails.
Bandwagon effectAdopts a belief, product or candidate partly because many others already have.Choosing the restaurant with the queue outside the door.
Framing effectChooses differently when the same outcome is worded as a gain rather than a loss."90 percent survive" sounds better than "10 percent die" for the same operation.
Negativity biasNegative information weighs more than positive information of the same size.One critical comment outlasting ten compliments.
Self-serving biasCredits successes to yourself and puts failures down to circumstances or other people.A good grade means you are smart; a bad one means the test was unfair.
Optimism biasRates your own chances of good events above average and of bad ones below.Expecting your renovation to come in on budget when most do not.

The four problems the mind is solving

The codex, drawn up by Buster Benson in 2016 and illustrated by John Manoogian III, takes the long and overlapping list of named biases and sorts it by the problem each one addresses. Four problems account for all of them.

  • Too much information. There is more arriving than anyone can take in, so the mind filters, and the filters have preferences: for what has changed, for what is repeated, for what confirms what it already believes, for what is bizarre or striking, and for flaws in other people rather than in itself.
  • Not enough meaning. The information that gets through is thin, so the mind fills the gaps with stories, stereotypes, generalizations from one case, projections of its current mood onto the past and the future, and a flattering picture of itself and the people it knows. This is the largest quadrant, with 81 entries.
  • The need to act fast. Decisions have to be made before the evidence is in, so the mind favors the option that feels confident, simple, complete and reversible, and it favors finishing what it has already paid for.
  • What should be remembered. Memory has to be compact, so the mind keeps key elements and discards specifics, edits memories after the fact, and stores events differently depending on how they were experienced.

Every shortcut works more often than it fails, which is why they survive. The pages on this site exist for the times they fail: a single demo per bias, built to let you land on the bias yourself, and a plain account of the study that first documented it, where it shows up, how to counter it, and which neighboring biases it is not.

How to use this codex

The wheel below is the codex drawn as a ring: the four quadrants on the inside, the subcategories in the middle ring, and the 187 named biases around the rim. Hover or tab across a leaf to read its name; the leaves that are already written are links. The list under the wheel has every entry with a one-line definition and a filter box, and it is the faster route on a phone.

Each bias page follows the same shape. It opens with the demo, because a bias that you have just experienced is easier to recognize later than one you have only read about. The demo ends on a result that says in plain words which way you went, shows the figure from the original study, and, once enough people have taken it, the share of visitors who went each way. Nothing you enter leaves your browser except that one outcome label. Below the demo come the definition, how the bias works, the original study, a table of everyday examples, what helps, and the boundary with the nearest biases.

The pages are educational. Noticing a bias in yourself is normal, and the demos are built so that most people land on it; that is what the research predicts. None of this is a diagnosis, and none of it is a substitute for talking to a professional if something here touches a difficulty you are living with.

The codex wheel

Four quadrants on the inside, the subcategories in the middle ring, the 187 biases around the rim. Hover or tab across a leaf to read its name; the leaves with a page are links. On a phone the ring shows the quadrants and the list below does the work.

The Cognitive Bias Codex: 187 biases arranged by quadrant and subcategoryToo much informationToo much informationNot enough meaningNot enough meaningThe need to act fastThe need to act fastWhat should we rememberWhat should we rememberWe favor information that confirms existing beliefsWe notice things already primed in memory or repeated oftenBizarre, funny, or visually striking things stand outWe notice when something changesWe notice flaws in others more easily than in ourselvesWe simplify probabilities and numbersWe fill in characteristics from stereotypes and generalizationsWe imagine ourselves and familiar people more positivelyWe find stories and patterns even in sparse dataWe project our current mindset onto the past and futureWe think we understand what others are thinkingWe prefer simple and complete informationWe favor completing things we have invested inWe preserve autonomy and avoid irreversible decisionsWe discard specifics to form generalizationsWe reduce events and lists to their key elementsWe edit and reinforce some memories after the factWe store memories differently based on how they were experiencedConfirmation biasSelective perceptionObserver effectExpectation biasOstrich effectSemmelweis reflexContinued influence effectChoice-supportive biasPost-purchase rationalizationCongruence biasObserver-expectancy effectSubjective validationExperimenter's biasAvailability heuristicBaader-Meinhof phenomenonIllusory truth effectFrequency illusionOmission biasContext effectEmpathy gapMere-exposure effectAttentional biasBase-rate fallacyCue-dependent forgettingMood-congruent memory biasNegativity biasVon Restorff effectPicture superiority effectBizarreness effectHumor effectSelf-relevance effectFraming effectAnchoringContrast effectConservatism biasMoney illusionDistinction biasWeber-Fechner lawFocusing effectNaive realismBias blind spotNaive cynicismMurphy's lawSurvivorship biasNormalcy biasThe magical number seven, plus or minus twoDenomination effectZero-sum biasAppeal to probability fallacySubadditivity effectPlacebo effectHalo effectEssentialismFunctional fixednessStereotypingBandwagon effectCheerleader effectAuthority biasMental accountingAutomation biasJust-world hypothesisOut-group homogeneity biasUltimate attribution errorReactive devaluationGroup attribution errorIn-group favoritismPositivity effectCross-race effectMoral credential effectArgument from fallacyNot-invented-here syndromeWell-traveled road effectFundamental attribution errorDunning-Kruger effectSocial desirability biasBarnum effectFalse consensus effectSelf-serving biasOptimism biasActor-observer biasEgocentric biasIllusion of controlIllusory superiorityLake Wobegon effectOverconfidence effectForer effectDefensive attribution hypothesisThird-person effectHard-easy effectTrait ascription biasPareidoliaAnthropomorphismConfabulationGambler's fallacyIllusory correlationAnecdotal fallacyClustering illusionIllusion of validityRecency illusionHot-hand fallacyNeglect of probabilityInsensitivity to sample sizeMasked-man fallacyHindsight biasPlanning fallacyRosy retrospectionImpact biasMoral luckOutcome biasProjection biasDeclinismPessimism biasRestraint biasTelescoping effectPro-innovation biasSelf-consistency biasTime-saving biasSpotlight effectCurse of knowledgeIllusion of transparencyIllusion of asymmetric insightIllusion of external agencyExtrinsic incentive errorOccam's razorInformation biasConjunction fallacyBelief biasLaw of trivialityAmbiguity biasLess-is-better effectRhyme-as-reason effectBike-shedding effectSunk cost fallacyEndowment effectLoss aversionEscalation of commitmentHyperbolic discountingIKEA effectDisposition effectEffort justificationPeltzman effectIdentifiable victim effectGeneration effectUnit biasRisk compensationAppeal to noveltyZero-risk biasPseudocertainty effectIrrational escalationProcessing difficulty effectReverse psychologyStatus quo biasReactanceBackfire effectDecoy effectSystem justificationSocial comparison effectPrejudiceImplicit associationFading affect biasImplicit stereotypesStereotypical biasPrimacy effectMisinformation effectRecency effectPeak-end ruleSerial-position effectDuration neglectLeveling and sharpeningSuffix effectModality effectMemory inhibitionList-length effectPart-set cueing effectSerial recall effectFalse memorySpacing effectCryptomnesiaSuggestibilitySource confusionMisattribution of memoryTesting effectGoogle effectAbsent-mindednessTip-of-the-tongue phenomenonNext-in-line effectLevels-of-processing effectCognitive Bias Codex187 biases in four quadrants

Every bias, by quadrant

1. Too much information

There is too much information, so the mind filters.

We favor information that confirms existing beliefs

  • Confirmation biasLooking for, reading and remembering evidence that fits what you already believe, and skipping the rest.
  • Selective perceptionPeople notice, weigh and remember the parts of a scene that fit what they already expect or want.
  • Observer effectPeople behave differently when they know they are being watched, which confounds what a study measures.
  • Expectation biasWhat you expect shapes what you then taste, see or record, not just what you say about it.
  • Ostrich effectInformation you expect to be unwelcome goes unopened, while good news gets checked twice.
  • Semmelweis reflexNew evidence is rejected out of hand because it contradicts what the established view already holds.
  • Continued influence effectA claim that has been corrected keeps shaping reasoning, even in people who remember the correction.
  • Choice-supportive biasAfter a decision, memory credits the chosen option with more of the good points than it had.
  • Post-purchase rationalizationAfter committing, people find reasons the choice was right and the rejected option looks worse.
  • Congruence biasTesting only what your current hypothesis predicts, instead of a test that could rule it out.
  • Observer-expectancy effectA researcher's expectation reaches the people or animals studied and changes what they do.
  • Subjective validationA statement feels accurate when you can connect it to something in your own life.
  • Experimenter's biasA researcher's expectations tilt a study through its design, measures, exclusions and analysis.

We notice things already primed in memory or repeated often

  • Availability heuristicJudging how common or likely something is by how easily examples of it come to mind.
  • Baader-Meinhof phenomenonAfter you learn a new term it seems to turn up everywhere; it was there before you were looking.
  • Illusory truth effectA statement heard before is rated more likely true than a new one, whatever its truth.
  • Frequency illusionOnce you notice something it seems to be everywhere; the frequency is unchanged, your attention is not.
  • Omission biasHarm that comes from doing nothing is judged less bad than the same harm caused by acting.
  • Context effectWhat surrounds a word, a figure or a price changes what it is read as.
  • Empathy gapFailing to predict how a hunger, fear or craving you are not feeling now will change your choices.
  • Mere-exposure effectRepeated exposure to something, with nothing else added, makes people like it more.
  • Attentional biasAttention goes first to what is threatening or already primed, before any decision is made.
  • Base-rate fallacyPeople judge a case from the evidence in front of them and forget how common the category is.
  • Cue-dependent forgettingA memory that will not come back on its own returns as soon as the right cue is supplied.
  • Mood-congruent memory biasWhat matches your mood is easier to take in and to bring back than what clashes with it.

Bizarre, funny, or visually striking things stand out

  • Negativity biasNegative information weighs more in a judgment than positive information of the same size.
  • Von Restorff effectAn item that stands out from a set of similar items is remembered much better than the rest.
  • Picture superiority effectItems met as pictures are recognized and recalled better than the same items met as words.
  • Bizarreness effectStrange material is recalled better than ordinary material, but only against a plain backdrop.
  • Humor effectFunny material is remembered better than plain material met alongside it, at the plain material's cost.
  • Self-relevance effectInformation judged in relation to yourself is remembered better than information processed other ways.

We notice when something changes

  • Framing effectPeople choose differently when the same outcome is worded as a gain rather than as a loss.
  • AnchoringA number seen first pulls later estimates toward it, even when the number is arbitrary or absurd.
  • Contrast effectA thing is judged against what came just before it, so the same price can read cheap or dear.
  • Conservatism biasPeople revise a belief less than new evidence warrants, so strong data moves them part of the way.
  • Money illusionPeople judge money by its face value and leave inflation out of the comparison.
  • Distinction biasComparing options side by side magnifies differences that barely register once you live with one.
  • Weber-Fechner lawA change is judged against its base, so the same step feels smaller when the starting value is larger.
  • Focusing effectWhatever you focus on when judging well-being looms larger in the judgment than it does in a life.

We notice flaws in others more easily than in ourselves

  • Naive realismThe sense that you see things as they are, so anyone who disagrees must be uninformed or biased.
  • Bias blind spotSeeing bias at work in other people far more readily than in your own judgment.
  • Naive cynicismPeople expect others to divide credit and blame self-servingly, more than those others actually do.

2. Not enough meaning

There is not enough meaning, so the mind fills the gaps.

We simplify probabilities and numbers

  • Murphy's lawThe sense that whatever can go wrong will, built from physics, lopsided odds and a memory for misses.
  • Survivorship biasJudging by the cases that made it through, and forgetting the ones that did not, distorts a conclusion.
  • Normalcy biasPeople assume an unfolding emergency is normal and delay acting, waiting for proof that it is real.
  • The magical number seven, plus or minus twoImmediate memory holds only a handful of items at once, about seven by Miller's count.
  • Denomination effectPeople spend a sum held as one large bill less readily than the same sum in smaller bills or coins.
  • Zero-sum biasTreating a situation as if one person's gain must be another's loss when the resource is not limited.
  • Appeal to probability fallacyTreating something that could happen as something that will happen, with no odds attached.
  • Subadditivity effectThe probability judged for a whole category comes out lower than the sum judged for its parts.

We fill in characteristics from stereotypes and generalizations

  • Placebo effectImprovement after a treatment with no active ingredient, driven by expectation, ritual and attention.
  • Halo effectOne positive impression, such as warmth or good looks, spreads to unrelated qualities like skill.
  • EssentialismTreating people, groups and objects as having a hidden inner nature that makes them what they are.
  • Functional fixednessKnowing what an object is for gets in the way of seeing the other thing it could do.
  • StereotypingFilling in what a person is like from the group they seem to belong to, and ignoring the odds.
  • Bandwagon effectPeople adopt a belief, product or candidate partly because many others already have.
  • Cheerleader effectThe same face is rated slightly more attractive in a group photo than on its own.
  • Authority biasA claim or instruction is accepted more readily because of who gives it than because of what it says.
  • Mental accountingPeople sort money into separate mental budgets and treat a dollar differently by which one it sits in.
  • Automation biasTaking an automated system's suggestion over evidence in plain sight that contradicts it.
  • Just-world hypothesisNeeding the world to be fair, so a victim's bad luck gets read as something they brought on.
  • Out-group homogeneity biasSeeing members of other groups as more alike than members of your own group.
  • Ultimate attribution errorA bad act by an out-group member is read as character, while the same act in the in-group gets excused.
  • Reactive devaluationA proposal loses value the moment the other side offers it, even when the terms do not change.
  • Group attribution errorA group's decision is read as each member's own view, whatever the vote or the rule that produced it.
  • In-group favoritismPeople favor members of their own group over outsiders, even when the group was formed a minute ago.
  • Positivity effectOlder adults attend to and remember relatively more positive than negative material than the young do.
  • Cross-race effectPeople recognize faces of their own racial group more accurately than faces of other groups.
  • Moral credential effectAfter an act that marks them as unprejudiced, people feel freer to voice a view that could look biased.
  • Argument from fallacyConcluding that a claim is false because one argument for it was bad.
  • Not-invented-here syndromeIdeas and tools from outside the group are rated lower than the group's own, for no reason but origin.
  • Well-traveled road effectA route you travel often is judged to take less time than an equally long route you rarely take.

We imagine ourselves and familiar people more positively

  • Fundamental attribution errorExplaining other people's behavior by their character while overlooking the situation that produced it.
  • Dunning-Kruger effectPeople with the least skill in a domain tend to rate themselves well above their actual level.
  • Social desirability biasAnswering as the answer should look rather than as it is, on surveys and in interviews.
  • Barnum effectA description vague enough to fit almost anyone reads as a precise account of you.
  • False consensus effectPeople overestimate how many others share their own choices, beliefs and habits.
  • Self-serving biasPeople credit their successes to themselves and put their failures down to circumstances or others.
  • Optimism biasPeople rate their chances of good events above average and of bad ones below, more than the odds allow.
  • Actor-observer biasPeople explain their own behavior by the situation and other people's by their character.
  • Egocentric biasRecalling your own contributions more easily than other people's, so your share feels larger.
  • Illusion of controlFeeling that your own actions influence an outcome that is in fact decided by chance.
  • Illusory superiorityMost people rate themselves above the median on desirable traits, which cannot be true of most people.
  • Lake Wobegon effectThe name for a group in which almost everyone, or every institution, reports being above average.
  • Overconfidence effectStated confidence runs ahead of accuracy, and estimated ranges come out far too narrow.
  • Forer effectAccepting a description that fits almost everyone as an accurate account of yourself.
  • Defensive attribution hypothesisThe worse an accident turns out, the more blame goes to whoever might have prevented it.
  • Third-person effectPeople judge persuasive media to have a greater effect on other people than on themselves.
  • Hard-easy effectConfidence tends to run ahead of accuracy on hard questions and behind it on easy ones.
  • Trait ascription biasOther people get fixed, predictable traits; your own behavior is seen as variable and situational.

We find stories and patterns even in sparse data

  • PareidoliaSeeing a face, a figure or a pattern in something that has none, such as a cloud, a socket or toast.
  • AnthropomorphismAttributing a human mind, with intentions and feelings, to something that is not human.
  • ConfabulationGiving a confident, sincere explanation or memory that is not the real one.
  • Gambler's fallacyAfter a run of one outcome, people expect the other to be due, even when each event is independent.
  • Illusory correlationA link read into two unrelated things, often between a small group and rare events.
  • Anecdotal fallacyA single vivid story outweighs the statistics that should have settled the question.
  • Clustering illusionChance produces clumps and streaks, and people read them as patterns that must have a cause.
  • Illusion of validityConfidence in a prediction tracks how well the story fits, not how accurate the prediction is.
  • Recency illusionThe belief that something you have only recently noticed is itself recent.
  • Hot-hand fallacyAfter a streak, the next attempt feels more likely to succeed, as though success carried over.
  • Neglect of probabilityWhen an outcome stirs feeling, people respond to whether it could happen and barely to how likely it is.
  • Insensitivity to sample sizePeople expect a small sample to behave like a large one, and miss how much more a small sample swings.
  • Masked-man fallacyTreating what someone knows or believes about a thing as if it were a property of the thing itself.

We project our current mindset onto the past and future

  • Hindsight biasOnce an outcome is known, it looks far more predictable than it was beforehand.
  • Planning fallacyPeople underestimate how long a task will take, even when their past tasks have all run late.
  • Rosy retrospectionRemembering an event more fondly than you rated it while it was happening.
  • Impact biasOverestimating how strong and how long-lasting your reaction to a future event will be.
  • Moral luckThe same action is blamed more when luck makes it end badly, though nothing about the agent changed.
  • Outcome biasA decision is rated by how it turned out, even when the result was down to chance.
  • Projection biasPredicting what your future self will want from what you want right now.
  • DeclinismBelieving the past was better than it was and that things are on a downward path.
  • Pessimism biasExpecting your own future to turn out worse than the evidence or the average warrants.
  • Restraint biasPeople overestimate their ability to control an impulse, so they put themselves closer to temptation.
  • Telescoping effectDistant events are remembered as more recent than they were, and very recent events as older.
  • Pro-innovation biasAssuming an innovation should reach everyone, fast and unchanged, and blaming those who do not adopt it.
  • Self-consistency biasPeople recall their past attitudes and behavior as more like their present ones than they actually were.
  • Time-saving biasPeople misjudge the time a speed increase saves: too little from a low speed, too much from a high one.

We think we understand what others are thinking

  • Spotlight effectPeople overestimate how much others notice their appearance, their slips and their contributions.
  • Curse of knowledgeOnce you know something, you cannot imagine not knowing it, so you overestimate what others understand.
  • Illusion of transparencyPeople overestimate how clearly their inner states, such as nerves or a lie, show on the outside.
  • Illusion of asymmetric insightPeople believe they know and understand other people better than those people know and understand them.
  • Illusion of external agencySatisfaction you made yourself gets credited to a wise, kind and powerful outside force.
  • Extrinsic incentive errorPeople believe others are driven by pay and security more than they are, and by interest less.

3. The need to act fast

There is no time, so the mind favors the quick, confident option.

We prefer simple and complete information

  • Occam's razorPreferring the explanation with the fewest assumptions, which is a tie-breaker and not a proof.
  • Information biasSeeking more information even when no possible answer could change what you are going to do.
  • Conjunction fallacyPeople judge two things together as more probable than one of them alone, when it cannot be.
  • Belief biasJudging an argument by whether its conclusion sounds true rather than by whether it follows.
  • Law of trivialityGroups spend longest on the items everyone can understand and least on the biggest ones.
  • Ambiguity biasA known chance is preferred to an unknown one, even when the unknown one is no worse.
  • Less-is-better effectJudged on its own, a smaller option can be valued above a bigger one because it looks complete.
  • Rhyme-as-reason effectStatements that rhyme are judged more accurate than the same claims in plain words.
  • Bike-shedding effectA trivial change draws far more discussion than a major one, because everyone can have an opinion on it.

We favor completing things we have invested in

  • Sunk cost fallacyContinuing something because of what has already been spent on it, when only what comes next counts.
  • Endowment effectPeople put a higher price on something once they own it than they would pay to get it.
  • Loss aversionA loss of a given size weighs more in a decision than a gain of the same size.
  • Escalation of commitmentPeople who made a decision keep putting resources into it after it fails, to justify the first choice.
  • Hyperbolic discountingA delay that starts now feels far costlier than the same delay a year out, so preferences flip.
  • IKEA effectPeople value something more because they made it themselves, even when the result is objectively worse.
  • Disposition effectGains get sold early and losses get held, because the purchase price becomes the line that matters.
  • Effort justificationRating something more highly because getting it cost you effort or discomfort.
  • Peltzman effectSafety measures are partly offset by riskier behavior, though the full offset is not supported.
  • Identifiable victim effectOne named person draws more help than statistics about millions facing the same thing.
  • Generation effectMaterial you produce yourself is remembered better than the same material read off the page.
  • Unit biasPeople take one unit and stop, so the size of the unit decides how much they eat.
  • Risk compensationPeople take more risk when they feel better protected, giving back part of a safety gain in behavior.
  • Appeal to noveltyA claim or product is judged better because it is new, before anything shows that it is.
  • Zero-risk biasRemoving one small risk completely feels better than making a bigger risk much smaller.
  • Pseudocertainty effectAn outcome that is only certain if an earlier stage is passed gets treated as if it were certain.
  • Irrational escalationEach bid is made to avoid losing the last one, until the fight costs more than the prize.
  • Processing difficulty effectHarder-to-read material was remembered better in one famous study; most replications found no gain.

We preserve autonomy and avoid irreversible decisions

  • Reverse psychologyPushing someone toward a choice by forbidding it, which works through resistance to being steered.
  • Status quo biasWhatever is already in place gets chosen more often than it would if it were offered fresh.
  • ReactanceA threat to your freedom to choose makes the forbidden option more tempting and the pressure weaker.
  • Backfire effectA correction that strengthens the false belief it was meant to fix; a real but rare finding.
  • Decoy effectA third option nobody would choose can change which of the other two gets picked.
  • System justificationThe tendency to see the social and economic arrangement you live under as fair, natural and justified.
  • Social comparison effectPeople judge their own standing, income and well-being against the people around them.

4. What should we remember

Memory has to be compact, so the mind keeps key elements and edits the rest.

We discard specifics to form generalizations

  • PrejudiceA negative attitude toward people for the group they belong to, held before and in spite of the facts.
  • Implicit associationLearned links between concepts that show up in sorting speed rather than in what people report.
  • Fading affect biasThe emotion attached to unpleasant memories fades faster than the emotion attached to pleasant ones.
  • Implicit stereotypesGroup and trait pairings absorbed from a culture that show up indirectly, not in what a person reports.
  • Stereotypical biasMemory keeps details that fit a stereotype and reshapes the ones that do not toward what was expected.

We reduce events and lists to their key elements

  • Primacy effectWhat comes first is remembered best, and it colors how everything after it is read.
  • Misinformation effectMisleading details supplied after an event get folded into the memory of the event itself.
  • Recency effectThe last items in a list are recalled best, and the latest information weighs most in a judgment.
  • Peak-end ruleAn experience is remembered by its worst moment and its ending, not by how long it lasted.
  • Serial-position effectThe first and last items on a list are remembered far better than the ones in the middle.
  • Duration neglectHow long an unpleasant or pleasant episode lasted has little effect on how bad or good it is remembered.
  • Leveling and sharpeningRetelling drops most of the detail, and the few details that survive get louder.
  • Suffix effectAn irrelevant spoken word after a heard list wipes out the usual advantage of the last items in recall.
  • Modality effectThe last items of a list are recalled better when the list is heard than when it is read silently.
  • Memory inhibitionRetrieving one memory makes related, unpracticed memories harder to recall afterwards.
  • List-length effectThe longer a list, the more items come back in total and the smaller the share of the list that does.
  • Part-set cueing effectBeing handed part of a list as reminders makes the rest of the list harder to recall, not easier.
  • Serial recall effectRecalling a sequence in order, the middle slips first and a misplaced item lands one position off.

We edit and reinforce some memories after the fact

  • False memoryA memory can feel detailed and certain and still be of something that did not happen.
  • Spacing effectStudy spread over several sessions is remembered far better than the same study packed into one.
  • CryptomnesiaSomeone else's idea resurfaces as an original thought of your own, with the memory of its source lost.
  • SuggestibilityThe degree to which a person takes on suggested information and later reports it as their own memory.
  • Source confusionA memory keeps its content but loses or misassigns where it came from.
  • Misattribution of memoryA memory is assigned to the wrong source: something imagined, read or heard is recalled as seen.

We store memories differently based on how they were experienced

  • Testing effectRecalling material on a test strengthens memory for it more than spending the same time rereading it.
  • Google effectRemembering less of the information itself when you expect to be able to look it up later.
  • Absent-mindednessAttention is elsewhere when a detail or an intention needs registering, so it never does.
  • Tip-of-the-tongue phenomenonThe state of being sure you know a word, unable to say it, yet able to recall parts of it.
  • Next-in-line effectPeople remember little of what was said in the moments before their own turn to speak or perform.
  • Levels-of-processing effectMaterial processed for its meaning is remembered far better than material processed for look or sound.

New to psychology? Start with Introduction to Psychology or Psychology 101, then come back to the biases with the vocabulary in place.

Cognitive Biases FAQ

What is a cognitive bias?

A cognitive bias is a systematic pattern in judgment, memory or decision making that departs from what the evidence or the arithmetic would support. The word systematic matters: a bias is not a random mistake but a predictable one, which is why it can be demonstrated in a laboratory, replicated across people, and, with some effort, planned around. Most biases are shortcuts that work well in ordinary conditions and fail in specific ones.

What is the Cognitive Bias Codex?

It is a diagram published by Buster Benson in 2016 and drawn by John Manoogian III that arranges the named cognitive biases listed on Wikipedia into four groups according to the problem each one helps the mind solve: too much information, not enough meaning, the need to act fast, and what should be remembered. The version used here has 187 unique entries, each with its own page and demo.

How many cognitive biases are there?

There is no fixed number, because biases are named by researchers as they are documented and the names overlap. The codex lists 187 unique entries after duplicates are merged. Some are robust, replicated effects with decades of research behind them, such as anchoring and the framing effect; others are single findings or informal labels. Each page here says which kind it is and cites the study it rests on.

Are cognitive biases bad?

They are trade-offs. The shortcuts that produce biases let people decide quickly with incomplete information, which is the normal condition of life, and they are right far more often than they are wrong. The cost appears in specific situations: a medical decision framed in one direction, a hiring judgment colored by one trait, an investment strategy copied from survivors. Knowing where a shortcut fails is more useful than trying to switch it off.

Can you get rid of cognitive biases?

Mostly no, and awareness alone changes little; people who can explain a bias perfectly still show it. What works is changing the procedure rather than the person: writing predictions down before the outcome, scoring candidates on fixed criteria, restating a choice in the opposite frame, asking who is missing from a sample. Each page on this site ends with the counter-measures that have evidence behind them for that particular bias.

How do the demos on these pages work?

Each demo is a short, self-contained version of an experiment from the research on that bias, built to run in your browser with nothing stored except, for a few demos, which version you were shown. It ends with a result that names which way you went and shows the figure from the original study. One outcome label per visit is added to an aggregate counter so the page can report the share of visitors who went each way. No answers, scores or identifiers are kept.

References

  1. Benson, B. (2016). Cognitive bias cheat sheet. Better Humans. betterhumans.pub
  2. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131. doi.org
  3. Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62, 451-482. doi.org
  4. Haselton, M. G., Nettle, D., & Andrews, P. W. (2005). The evolution of cognitive bias. In D. M. Buss (Ed.), The handbook of evolutionary psychology (pp. 724-746). Wiley. doi.org

Cite this source

Psychology.com. (2026, November 1). Cognitive Biases. Psychology.com. https://psychology.com/biases/

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.