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Conditional-probability problem

Monty Hall Problem

With three doors, a prize placed uniformly, and a host who always reveals a goat behind an unchosen door, switching wins with probability two thirds.

Scientific statusMathematical result
Predictive formExact strategy probability
DomainBayesian conditioning
EvidenceEnumeration + proof
Key limitationHost protocol must be specified
Common misuseTwo closed doors means fifty-fifty
INTERACTIVE MODEL

P(win by switching) = (n - 1) / n for an n-door informed-host variant

For the classic three-door protocol the probability is 2/3. If the host does not know, may reveal the prize, or chooses doors by another rule, the answer changes.

Each cycle marks the initial choice, the hidden prize, the host's constrained reveals, and the one remaining alternative.

66.7Switch-strategy win rate
(%)
3 doors12 doors
HOST-INFORMATION DOOR LABA constrained reveal transfers probability to the unchosen closed door.
Interactive visual model for Monty Hall Problem.
VISIBLE PHASESTARTINGTAKEAWAYWATCH ONE FULL CYCLE

The animation runs automatically, pauses on the conclusion, and then repeats. The main control changes the scenario rather than scrubbing the timeline.

CHANGE
Number of doors
WATCH
switching win probability
MEANING
Each cycle marks the initial choice, the hidden prize, the host's constrained reveals, and the one remaining alternative.
VISUAL MODEL

The host removes doors without removing the initial choice's probability.

Repeated trials split into "first choice right" and "first choice wrong"; switching wins the entire second branch.

initial choiceinformed revealswitch outcome
01 / MEANING

What it actually says

The initial choice has probability 1/3 of being correct and the unchosen set has probability 2/3. The informed host concentrates that set's probability on the only alternative left closed.

The puzzle feels counterintuitive because the host's action is mistaken for random missing information. It is a selection event constrained by knowledge of the prize.

Compact formP(win by switching) = (n - 1) / n for an n-door informed-host variant
Best interpretationBayesian conditioning evidence in probability.
Important cautionHost protocol must be specified.
"A useful law compresses a pattern. It does not erase the conditions that make the pattern true."
02 / ORIGIN

How the idea developed

The modern form emerged through observation, argument, and later refinement. The timeline separates the first insight from the version now used in textbooks and practice.[1]

19751975

Steve Selvin presents the problem in The American Statistician.

19901990

A popular column triggers widespread debate and simulation.

TodayToday

The problem teaches conditional probability and information protocols.

Historical cautionEponymous laws often change after their first publication. Popular wording may be broader and cleaner than the original evidence.
03 / MECHANISM

How the pattern works

The relation becomes useful only when its mechanism, measurement process, and operating range are visible.

01Initial partition

One chosen door versus all unchosen doors.

02Constrained reveal

The host avoids both the prize and the selected door.

03Probability concentration

The unchosen-set mass moves to the surviving alternative.

MODELP(win by switching) = (n - 1) / n for an n-door informed-host variant

For the classic three-door protocol the probability is 2/3. If the host does not know, may reveal the prize, or chooses doors by another rule, the answer changes.

04 / APPLICATIONS

Where it earns its keep

Applications are strongest when the law changes a decision, measurement, model, or experiment rather than merely providing an analogy.

EDUCATION

Enumerate complete cases

Application

List prize location, host action, and strategy outcome.

PROFESSIONAL NOTE

State the protocol first.

INFERENCE

Model selection mechanisms

Application

Observed absence can be informative.

PROFESSIONAL NOTE

Ask who chose what to reveal.

05 / LIMITS & MISUSE

Where it stops working

Variants with a forgetful, adversarial, or probabilistic host have different posterior probabilities.

Misuse

"After one reveal the doors are symmetric"

Better: The initial choice and host-selected survivor have different histories.
Misuse

"Switching guarantees a win"

Better: It raises the probability from 1/3 to 2/3.
07 / REFERENCES

Sources and further reading

Original publications and serious secondary scholarship are prioritized over summaries.

  1. Selvin - A Problem in ProbabilityOriginal published formulation.https://doi.org/10.1080/00031305.1975.10479121
  2. Gillman - The Car and the GoatsFormal analysis of variants.https://doi.org/10.1080/00031305.1992.10475842
  3. MIT OpenCourseWare - Conditional ProbabilityAuthoritative teaching context.https://ocw.mit.edu/courses/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/pages/unit-i/lecture-3/
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