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Hot-Hand Fallacy: Why Four in a Row Feels Like a Fifth

Four shots go in, each one an independent 50-50 draw. Call the fifth and say how sure you are, then read why the belief in streak shooting is a misreading of chance and why the famous study that said so was partly overturned.

About 1 minuteRuns in your browser5 sources cited
Hot-hand fallacy: a basketball player shoots again as teammates watch, certain the streak guarantees another make.

Call the fifth shot after four straight makes

Prediction gameAbout 1 minuteCounted anonymously

One call on a 50-50 shooter shows whether a streak feels like skill

A simulated shooter whose every shot is an independent 50-50 draw. Four have gone in. Call the fifth.

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

The survey found a widespread belief: 91% of 100 fans expected a higher success rate after two or three hits than after two or three misses. That percentage cannot establish a fallacy. A later reanalysis found significant streak shooting with large effects in the original controlled shooting data. Sources: Gilovich, Vallone and Tversky (1985), p. 298; Miller and Sanjurjo (2018), pp. 2021–2022, 2030–2031. Source excerpts (table entries condensed where applicable): “100 basketball fans”; “91% of the fans believed that a player has “a better chance”.

Source: Gilovich, Vallone and Tversky (1985), Cognitive Psychology

In short

The hot-hand fallacy is the belief that a run of successes makes the next attempt more likely to succeed, when the attempts are in fact independent of each other. It is named after basketball, where fans and players describe a shooter as hot, and the same reading of a streak appears in trading, gambling, sales records and any run of outcomes watched in sequence.

How the hot-hand fallacy works

A simulated shooter who makes half of all shots will produce runs. In a hundred independent attempts at even odds, a streak of four or five is not unusual; it is what independence looks like from close up. The fallacy is to read such a run as a property of the shooter at that moment, so that the fifth attempt inherits something from the four before it. For a process that carries no information from one attempt to the next, it does not.

Tversky and Kahneman called the underlying intuition the law of small numbers: people expect a short stretch of a random process to look like its long-run proportions. A sequence that holds close to half and half looks random, and a sequence with a run of five looks caused. Since runs appear anyway, the intuition has to attribute them to something, and in sports the available something is the player's form.

The hot-hand belief and the gambler's fallacy are mirror images drawn from the same misreading. Faced with four hits, one intuition says the streak will continue because the shooter is hot, the other that a miss is due because the proportions must even out. Which one arrives depends on whether the process is believed to have a state worth tracking. Croson and Sundali found both in the same casino: players bet against streaks on the wheel, which they knew was random, while betting more after their own wins.

The status of the word fallacy has changed, and a page about this belief has to say so. The 1985 paper reported no positive dependence between shots in professional records, and for three decades the hot hand was the textbook case of a pattern that existed only in the viewer. The 2018 correction by Miller and Sanjurjo removed that footing: once the estimator is fixed, the controlled shooting data of that same paper support a modest hot hand rather than none. What remains a fallacy is the inference from a short streak in a process you have no other evidence about. What no longer stands is the blanket claim that basketball streaks are nothing but an illusion.

The original study

Thomas Gilovich, Robert Vallone and Amos Tversky published "The hot hand in basketball: On the misperception of random sequences" in Cognitive Psychology in 1985. What this page draws on is the part of that paper about the belief itself, because the belief is what the demo above asks you to act on.

The authors put the question to 100 knowledgeable basketball fans. Ninety-one percent said a player has a better chance of making a shot after having just made two or three in a row, which is exactly the call the demo puts in front of you after four hits. The belief was not held loosely or as a figure of speech: the fans treated the run as information about the next attempt, and Tversky and Gilovich reported in 1989 that coaches and players talked about it the same way.

A run of hits curls into an expected next hitAn illustrative run of made basketball shots is gathered by an accent arrow into a dashed thought bubble containing another made shot. A separate percentage rail shows that 91% of 100 fans expected greater success after hits than after misses. The bubble is a belief, not an observed next shot. Corrected shooting analyses found real streak shooting, so the survey alone does not establish a fallacy.A streak becomes a forecastIllustrative shots · measured fan beliefHits already madeAnother hit expected91% of 100 fans agreed0%100%Belief is not a shot-success rate. Corrected shooting evidence found a real hot hand; this survey does not establish an error.
Gilovich, Vallone and Tversky (1985): 91% of 100 fans expected higher success after a run of hits than after a run of misses. The shot icons illustrate the survey prompt, not a measured shooting sequence. Miller and Sanjurjo (2018) found real streak shooting after correcting the original analysis; agreement with the belief does not by itself establish an error.
Read the diagram and evidence as text

An illustrative run of made basketball shots is gathered by an accent arrow into a dashed thought bubble containing another made shot. A separate percentage rail shows that 91% of 100 fans expected greater success after hits than after misses. The bubble is a belief, not an observed next shot. Corrected shooting analyses found real streak shooting, so the survey alone does not establish a fallacy.

A run of hits becomes a prediction

Share of surveyed fans; shot records are not drawn

Two or three shots made in a row: Compared with two or three misses in a row

Next shot more likely to go in: 91% of 100 fans agreed

Belief shown to be mistaken?: Not established by the survey; 2018 corrected analysis found real streak shooting

Two or three shots made in a row → surveyed expectation → Next shot more likely to go in

Next shot more likely to go in → agreement does not establish accuracy or error → Belief shown to be mistaken? (error transition)

Evidence from the page study claim
ConditionValue and unitEvidence quote
Survey respondents100 basketball fans100 basketball fans
Fans expecting higher success after two or three hits than after two or three misses91 percent91% of the fans believed that a player has “a better chance

Study source

The same respondents were then shown sequences of 21 hits and misses, presented as a player's record, and asked to label each one. A sequence that switches sides about half the time, which is what an independent 50-50 process produces, was read as streak shooting by most of them, and the sequences they picked as the clearest examples of chance switched sides far more often than chance does. So the belief does not begin with streaky records. It begins with an expectation of what a chance record ought to look like, and that expectation is wrong in a known direction. The page on the clustering illusion takes that sequence-reading error as its own subject.

The other half of the 1985 paper has not held up as well. Gilovich, Vallone and Tversky also looked for shot-to-shot dependence in professional and controlled shooting records and reported none, and for three decades that settled the question. Joshua Miller and Adam Sanjurjo showed in 2018 that the estimator is biased downward, because picking out the attempts that follow a run drops sequences in a way that pulls the figure below the shooter's own rate, and that correcting it moves the controlled Cornell result from about 3 percentage points to about 13 in favor of a hot hand. So the belief this page is about is not simply false. What stays a fallacy is treating a short run as a state when nothing else is known about the process.

Everyday examples

The reading of a streak as a state appears wherever outcomes arrive in sequence. The rows below are illustrations, not findings from the studies cited on this page.

After six square pebbles drawn in a row from a mixed jar, a man points confidently to the spot for a seventh square, round pebbles in a bowl nearby.
The hot-hand fallacy at a draw table. The pebbles go back in the jar after every draw, so the streak of squares has no effect on what comes next, yet he expects the run to continue. It is the mirror of the gambler's fallacy, which expects a reversal. Whether real streaks exist in skilled play, such as basketball, is a separate and debated question. This jar has no skill in it.
SituationWhat the bias doesWhat helps
A trader has picked four winners in a rowThe run is read as form, and the next position is sized larger than the plan allowsSize positions by rule, and count the full record including the quiet months
Choosing a fund after three strong yearsRecent returns are treated as a property of the manager rather than of the periodCompare against the benchmark over a full cycle and read the fee
A sales manager assigning the big accountThe representative on a streak gets the lead, which may be about the territory rather than the personCompare conversion rates over a long enough window to tell the two apart
A gambler raising stakes after a few winsLuck is treated as something that persists, and the bankroll follows the feelingFix the stake in advance and ask what in the game could carry a state
A writer or a student on a good runA streak is credited to inspiration rather than to the conditions that produced itNote what the conditions were, since those can be repeated and a streak cannot

How to counter it

The useful question is not whether streaks are real but whether this process can carry a state from one attempt to the next.

  • Ask the mechanism question first. A wheel, a coin or a lottery machine carries nothing. A shooter with warm muscles, a trader with better information or a machine that is wearing out might. Only in the second kind of case can a streak mean anything.
  • Expect streaks from independence. In 100 even-odds attempts, a run of five is likely to appear somewhere. A run is not evidence by itself.
  • Count the base rate before the streak. The question is whether this shooter hits more than usual after a hit, which needs the usual rate as a comparison.
  • Beware of selecting on the streak. Looking only at the attempts that followed a run is the exact move that biased the 1985 measure, and it biases informal judgments the same way.
  • Keep the size in mind. Where a hot hand has been measured carefully it is modest, not a different player, so decisions should move a little rather than a lot.
  • Fix the rule in advance. A stake, a position size or an assignment decided before the run removes the question.

What it is not

Three biases concern runs in data. They differ in what the observer concludes.

  • It is not the gambler's fallacy, which is the opposite call: that a run makes the other outcome due. The two come from the same misreading of chance and appear in the same people, one about a person's form and the other about a machine's accounts.
  • It is not the clustering illusion, which is the earlier step of seeing a pattern in random data at all. The hot-hand fallacy is the prediction that follows once a run has been read as meaningful.
  • It is not the illusion of control, the belief that your own actions influence a chance outcome. A fan who thinks a shooter is hot is making a claim about the shooter; a fan who thinks their own seat changed the shot is not.

Tests and tools that use this

Related biases

Hot-Hand Fallacy FAQ

What is the hot-hand fallacy?

It is the belief that a run of successes makes the next attempt more likely to succeed, in a process where the attempts are independent. The name comes from basketball, where Gilovich, Vallone and Tversky found in 1985 that 91 percent of surveyed fans thought a player's chances improve after two or three made shots in a row.

Was the hot-hand study overturned?

Half of it was. Miller and Sanjurjo showed in 2018 that counting outcomes that follow a streak within a finite sequence is a biased estimator, and that correcting it turns the controlled shooting data of the 1985 paper into evidence for a hot hand of roughly 13 percentage points. The survey half, that people see streaks in random sequences, still stands.

What is the difference between the hot-hand fallacy and the gambler's fallacy?

They point in opposite directions from the same intuition. The hot-hand call is that a streak will continue because the person or process is on a run. The gambler's fallacy is that a streak must correct, because the proportions are owed a rebalance. Croson and Sundali found both in the same casino players, one about their own luck and one about the wheel.

How does the demo on this page work?

Four shots are shown going in, then you call the fifth and set a confidence level. In the demo every shot is drawn at random with equal odds by your browser, so the sequence is genuinely independent and the fifth shot owes nothing to the four. Your call determines the outcome label, not the result of the draw, and only that label is added to the counter.

Do hot hands exist in basketball?

On the corrected evidence, a modest one does in controlled shooting. The 2018 reanalysis of the 1985 data found a difference of about 13 percentage points after a streak, which is real but far smaller than the belief that a hot shooter cannot miss. In game conditions the question is harder, because defenders adjust and shot selection changes after a run.

Why do streaks feel so meaningful?

Because people expect short stretches of a random process to show its long-run proportions, an intuition Tversky and Kahneman called the law of small numbers. A run of four looks like a departure that needs a cause, so one gets supplied: form, confidence, luck. Runs of that length are common in independent sequences, which is why the feeling arrives so often.

References

  1. Gilovich, T., Vallone, R., & Tversky, A. (1985). The hot hand in basketball: On the misperception of random sequences. Cognitive Psychology, 17(3), 295-314. doi.org
  2. Miller, J. B., & Sanjurjo, A. (2018). Surprised by the hot hand fallacy? A truth in the law of small numbers. Econometrica, 86(6), 2019-2047. doi.org
  3. Tversky, A., & Gilovich, T. (1989). The cold facts about the "hot hand" in basketball. CHANCE, 2(1), 16-21. doi.org
  4. Tversky, A., & Kahneman, D. (1971). Belief in the law of small numbers. Psychological Bulletin, 76(2), 105-110. doi.org
  5. Croson, R., & Sundali, J. (2005). The gambler's fallacy and the hot hand: Empirical data from casinos. Journal of Risk and Uncertainty, 30(3), 195-209. doi.org

Cite this source

Psychology.com. (2026, October 23). Hot-Hand Fallacy. Psychology.com. https://psychology.com/biases/hot-hand-fallacy

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.