Empirical Laboratory

Custom N-Door Paradox Arena

Scale the classical three-door problem to an arbitrary N number of doors. Test your intuition directly as the host systematically eliminates all but one remaining alternative.

[P(Stay) = 1/3|P(Switch) = (3-1)/3]
Switch Odds:66.7% Win Prob

Phase 1: Click any door below to make your initial selection.

#1
Closed
#2
Closed
#3
Closed
Stay Win Rate
0.0%
0 wins / 0 trials
Switch Win Rate
0.0%
0 wins / 0 trials
Theoretical P(Stay)
33.3%
Exact: 1 / 3
Theoretical P(Switch)
66.7%
Exact: 2 / 3

Why does switching scale to 66.7% with N=3?

When you choose an initial door out of 3, you isolate it into a set with probability weight 1/3. The unchosen group holds a combined probability mass of (3 – 1)/3. Because the host knows where the prize is and deliberately eliminates 1 goats, that entire remaining mass collapses squarely onto the one door left unopened.

Empirical Data Lab

The Monty Hall Paradox

Real-time simulation data proving the 2/3 probability advantage. Explore how switching doors consistently outperforms staying in the long run.

+42.1%
1.2M+
Total Trials Run

Simulated Monty Hall scenarios processed

+0.1%
66.7%
Switch Win Rate

Empirical convergence on optimal strategy

-0.1%
33.3%
Stay Win Rate

Empirical convergence on static strategy

+12.4%
85K+
Active Researchers

Mathematicians and students exploring

Researcher Profile
Aggregated user demographics
AGE RANGEUSER SHARE (%)
10-1935%
20-2940%
30-3915%
40+10%
Logic Focus: Most users are students and academics testing the limits of probability theory.
Top Research InterestsAffinity
Probability Theory98 / 100
Game Theory92 / 100
Heuristic Logic85 / 100
Statistical Bias78 / 100
Historical Math72 / 100
Convergence Data
Law of large numbers in action
Live Stats
Switch Win Rate
66.7%
Optimal Strategy
Stay Win Rate
33.3%
Sub-optimal
Ready to test your logic?
Run your own trials and see the math unfold.
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