psychology.games

Hall II · Psychological Phenomena, Tasks & Thought Experiments

Monty Hall problem

Station · Playable

A repeatable version of the puzzle. The host is scripted and always opens an empty door; your running tally stays in this browser tab and is never sent anywhere.

A prize hides behind one of 3 doors. Pick one.

The experience

Three doors. A prize behind one, nothing behind the other two. You pick a door, the host opens a different door to show it is empty, and then comes the offer: stick with your original pick, or switch to the other closed door? Play a good handful of rounds each way and let your running tally settle the argument. Before you start, it helps to know which side you are probably on: almost everyone's first instinct in this game is to stay with the door they originally picked. Across studies in several countries, roughly 80-90% of people stick on their first play — in the classic experiment only about 12% switched — even though switching is twice as likely to win.Convergent / replicated

What is happening

The host's reveal looks like neutral information, as if the game had simply shrunk to a coin toss between two doors. It has not, because the host was never free to open just any door. Under the standard rules — the host knows where the prize is, always opens a losing door you did not pick, and always offers the swap — switching wins 2 out of 3 times. Your first pick keeps its original 1-in-3 chance, so the host's forced reveal funnels the remaining 2-in-3 onto the other closed door.Convergent / replicated Another way to feel it: switching loses only when your first pick was already right, and your first pick is right one time in three.

What this shows

This puzzle earns its place as a demonstration that a reasoning error can be nearly universal and stubbornly resistant to expertise. This puzzle famously fooled experts, not just beginners. Statistician Steve Selvin posed and named it in two 1975 letters, and when Marilyn vos Savant published the switch answer in Parade in 1990 she received about 10,000 letters — many from PhD holders on mathematics and science department letterheads insisting she was wrong — and the mathematician Paul Erdos reportedly accepted the answer only after seeing a computer simulation.Historical / descriptive If the answer still feels wrong to you, you are in distinguished company — and the station above is your own small version of the simulation that convinced Erdos.

What this does not show

A tempting takeaway is that switching is simply the smart move whenever someone reveals an empty option. Careful. The 2-in-3 advantage is not a universal rule that switching is always better — it depends entirely on the host's behavior. If the host does not know where the prize is and merely happens to reveal a goat by luck, the two remaining doors really are 50/50, so the game demonstrates the value of switching only under the standard knowing-host rules.Convergent / replicated Our host is scripted to follow those standard rules exactly, and the game tells you so before you play. Nor do a few rounds of one famously counterintuitive puzzle say anything broader about your judgment; your session summary describes your moves here, nothing more.

Research and limitations

Why does such a small puzzle defeat so many people? People go wrong here in predictable ways: they treat the two remaining doors as a 50/50 split and overlook that the host's move depends on their own choice. How the problem is presented matters a lot — when Krauss and Wang reframed it using counts of possible cases and the host's perspective, correct reasoning about the switch advantage rose from about 3% to nearly 40%, which still leaves most people fooled.Supported, with limits

One honest caveat about what practice can do. Playing the game repeatedly with feedback helps, but only partly. In Granberg and Brown's repeated rounds switching climbed from 12% to about 55%, and a computer simulation is what finally persuaded Erdos — yet reviews find people rarely reach the optimal always-switch strategy or a correct grasp of why it works, and in one head-to-head study humans failed to reach optimal play even with extensive training that pigeons mastered.Supported, with limits So treat a rising win rate here as progress, not as proof that the logic has clicked — the research suggests those two things can come apart.

Research drawer — claims, sources and limits

Every highlighted claim above is recorded here with its evidence grade and sources. Grades are per claim; this site never computes an overall truth score.

↩ almost everyone's first instinct in this game is to stay with the door they originally picked. Across studies in several countries, roughly 80-90% of people stick on their first play — in the classic experiment only about 12% switched — even though switching is twice as likely to win.

Convergent / replicated

Granberg, D., & Brown, T. A. (1995). The Monty Hall dilemma. Personality and Social Psychology Bulletin, 21(7), 711-723. https://doi.org/10.1177/0146167295217006 · accessed 2026-08-16
Support note: Publisher abstract states that in the first trial only 12% of participants switch (i.e., ~88% stick) despite switching being the mathematically superior strategy.

Saenen, L., Heyvaert, M., Van Dooren, W., Schaeken, W., & Onghena, P. (2018). Why humans fail in solving the Monty Hall dilemma: A systematic review. Psychologica Belgica, 58(1), 128-158. https://doi.org/10.5334/pb.274 · accessed 2026-08-16
Support note: Review reports cross-cultural sticking percentages ranging between 79% and 87% on first encounter, against the optimal 2/3 switching strategy.

↩ Under the standard rules — the host knows where the prize is, always opens a losing door you did not pick, and always offers the swap — switching wins 2 out of 3 times. Your first pick keeps its original 1-in-3 chance, so the host's forced reveal funnels the remaining 2-in-3 onto the other closed door.

Convergent / replicated

Saenen, L., Heyvaert, M., Van Dooren, W., Schaeken, W., & Onghena, P. (2018). Why humans fail in solving the Monty Hall dilemma: A systematic review. Psychologica Belgica, 58(1), 128-158. https://doi.org/10.5334/pb.274 · accessed 2026-08-16
Support note: States switching yields 2/3 probability of winning vs 1/3 for staying, and that this holds because the host knows the prize location, never opens the prize door, and his options are constrained by the contestant's choice.

Wikipedia contributors. Monty Hall problem. Wikipedia, The Free Encyclopedia. https://en.wikipedia.org/wiki/Monty_Hall_problem · accessed 2026-08-16
Support note: Documents the three standard host assumptions (always opens an unchosen door, always reveals a goat, always offers the switch) and that under them switching wins with probability 2/3.

↩ This puzzle famously fooled experts, not just beginners. Statistician Steve Selvin posed and named it in two 1975 letters, and when Marilyn vos Savant published the switch answer in Parade in 1990 she received about 10,000 letters — many from PhD holders on mathematics and science department letterheads insisting she was wrong — and the mathematician Paul Erdos reportedly accepted the answer only after seeing a computer simulation.

Historical / descriptive

Wikipedia contributors. Monty Hall problem. Wikipedia, The Free Encyclopedia. https://en.wikipedia.org/wiki/Monty_Hall_problem · accessed 2026-08-16
Support note: Documents Selvin's pair of 1975 letters to The American Statistician (second letter first uses the name 'Monty Hall problem'), the September 1990 vos Savant column, roughly 10,000 reader letters including PhD holders on department letterheads declaring her wrong, and Erdos remaining unconvinced until shown a computer simulation.

Selvin, S. (1975). A problem in probability (Letter to the editor). The American Statistician, 29(1), 67; followed by Selvin, S. (1975). On the Monty Hall problem (Letter to the editor). The American Statistician, 29(3), 134. http://www.jstor.org/stable/2683689 · citation only
Support note: Best-known citation for the origin claim: the first letter poses the three-box problem and defends the switch solution by enumeration; the second letter is the first printed use of the name 'Monty Hall problem'. Bibliographic details confirmed via PhilPapers search result and the opened Wikipedia article, but the letters themselves are behind JSTOR/Taylor & Francis paywalls.

↩ People go wrong here in predictable ways: they treat the two remaining doors as a 50/50 split and overlook that the host's move depends on their own choice. How the problem is presented matters a lot — when Krauss and Wang reframed it using counts of possible cases and the host's perspective, correct reasoning about the switch advantage rose from about 3% to nearly 40%, which still leaves most people fooled.

Supported, with limits

Krauss, S., & Wang, X. T. (2003). The psychology of the Monty Hall problem: Discovering psychological mechanisms for solving a tenacious brain teaser. Journal of Experimental Psychology: General, 132(1), 3-22. https://doi.org/10.1037/0096-3445.132.1.3 · accessed 2026-08-16
Support note: Official abstract (opened via Europe PMC) describes the problem as a famous 'cognitive illusion' and reports that manipulations of natural frequencies, mental models, perspective change, and the less-is-more effect combined to significantly increase correct answers, largely through the synergy of frequency formulation and perspective change.

Tubau, E., Aguilar-Lleyda, D., & Johnson, E. D. (2015). Reasoning and choice in the Monty Hall Dilemma (MHD): Implications for improving Bayesian reasoning. Frontiers in Psychology, 6, 353. https://doi.org/10.3389/fpsyg.2015.00353 · accessed 2026-08-16
Support note: Reports that in Krauss and Wang (2003) the percentage of correct justifications of the switching advantage increased from 3% in the standard version to 39% with the diagram-plus-perspective presentation, and that a large majority normally prefer to stick.

↩ Playing the game repeatedly with feedback helps, but only partly. In Granberg and Brown's repeated rounds switching climbed from 12% to about 55%, and a computer simulation is what finally persuaded Erdos — yet reviews find people rarely reach the optimal always-switch strategy or a correct grasp of why it works, and in one head-to-head study humans failed to reach optimal play even with extensive training that pigeons mastered.

Supported, with limits

Saenen, L., Heyvaert, M., Van Dooren, W., Schaeken, W., & Onghena, P. (2018). Why humans fail in solving the Monty Hall dilemma: A systematic review. Psychologica Belgica, 58(1), 128-158. https://doi.org/10.5334/pb.274 · accessed 2026-08-16
Support note: Review finds many studies report increased switching rates over repeated trials, but optimal performance is essentially never achieved and switching behavior dissociates from correct probability understanding; conditional frequency feedback across trials improves performance.

Herbranson, W. T., & Schroeder, J. (2010). Are birds smarter than mathematicians? Pigeons (Columba livia) perform optimally on a version of the Monty Hall Dilemma. Journal of Comparative Psychology, 124(1), 1-13. https://doi.org/10.1037/a0017703 · accessed 2026-08-16
Support note: Official abstract (opened via Europe PMC) reports pigeons adjusted switching toward the optimal strategy over trials, while human participants on the identical repeated procedure 'failed to adopt optimal strategies, even with extensive training'.

↩ The 2-in-3 advantage is not a universal rule that switching is always better — it depends entirely on the host's behavior. If the host does not know where the prize is and merely happens to reveal a goat by luck, the two remaining doors really are 50/50, so the game demonstrates the value of switching only under the standard knowing-host rules.

Convergent / replicated

Morton, A. B. (2010). Prize insights in probability, and one goat of a recycled error [Review of J. Rosenhouse, The Monty Hall Problem, Oxford University Press, 2009]. arXiv:1011.3400 [math.HO]. https://arxiv.org/abs/1011.3400 · accessed 2026-08-16
Support note: Full text read: works through why the classical knowing-host game gives a 2/3 win probability for switching, while the variant where Monty opens a door at random and happens to reveal a goat drops the switching advantage to 1/2, with explicit Bayesian derivations.

Saenen, L., Heyvaert, M., Van Dooren, W., Schaeken, W., & Onghena, P. (2018). Why humans fail in solving the Monty Hall dilemma: A systematic review. Psychologica Belgica, 58(1), 128-158. https://doi.org/10.5334/pb.274 · accessed 2026-08-16
Support note: States explicitly that if the host's behaviour were not constrained (i.e., the host could open the prize door), there is no advantage to switching — the 2/3 result requires the host-dependency assumption.