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Geometric Probability Puzzles

Probability problems where the sample space is a length, area, or volume rather than a finite list of outcomes — you answer them by comparing regions, not by counting cases.

Prerequisites: Conditional Probability

Two friends agree to meet between noon and 1pm, each arriving at a uniformly random time, and each waiting 15 minutes for the other before leaving. What's the probability they actually meet?

There's no dice roll or coin flip here — the outcome is a point chosen uniformly from a continuous range, so you can't count favorable cases over total cases the way you would with a deck of cards. Instead you compare areas (or lengths, or volumes): the fraction of the whole space that counts as a "success" is the answer. This is geometric probability, and interviewers reach for it specifically to see whether you default to counting when you should be drawing a picture.

The trick: turn the problem into a shape

Let xx be the first friend's arrival time and yy be the second's, both uniform on [0,60][0, 60] minutes. Every possible pair of arrival times is a point in a 60×60 square — that square is the sample space, and its area represents total probability 1. They meet if xy15|x - y| \le 15, which is a diagonal band across the square. The probability of meeting is just:

P(meet)=area of the bandarea of the square.P(\text{meet}) = \frac{\text{area of the band}}{\text{area of the square}} .

In plain English: instead of listing outcomes, you shade the region of the square where the condition holds and compare its area to the whole square.

Worked example 1: the meeting problem, solved

The square has area 60×60=3,60060 \times 60 = 3{,}600. The region where they don't meet is two corner triangles, one where xy>15x - y > 15 and one where yx>15y - x > 15. Each triangle has legs of length 6015=4560 - 15 = 45, so each has area 12(45)(45)=1,012.5\tfrac{1}{2}(45)(45) = 1{,}012.5. Together the two triangles cover 2,0252{,}025. The meeting band is the rest:

3,6002,025=1,575,P(meet)=1,5753,600=7160.4375.3{,}600 - 2{,}025 = 1{,}575, \qquad P(\text{meet}) = \frac{1{,}575}{3{,}600} = \frac{7}{16} \approx 0.4375 .

So despite both people trying in good faith, they miss each other more than half the time — a result purely of geometry, not of anyone being unreliable.

Worked example 2: a broken stick

Snap a stick of length 1 at a uniformly random point x[0,1]x \in [0,1], then snap the longer piece again at a uniformly random point. What's the probability the three pieces can form a triangle? The classic version of this question — break the stick at two random points x,yx, y simultaneously — reduces to the same square-and-region trick: plot (x,y)(x,y) in the unit square, and the "forms a triangle" condition (no piece longer than 1/21/2) carves out a smaller triangle of area 1/41/4 inside the unit square. The answer is P=1/4P = 1/4: three random breaks form a valid triangle only a quarter of the time, because it's easy for one piece to accidentally end up more than half the stick.

y x 0 60 0
The shaded diagonal band is where |x − y| ≤ 15: the two arrival times are close enough to meet. Its area over the full square's area is the answer.

What this means in practice

Geometric probability is really a special case of a general habit: when outcomes come from a continuous, uniform range, translate the problem into "what fraction of this shape satisfies the condition" rather than trying to enumerate cases. In interviews it shows up as meeting-time puzzles, random-point-on-a-segment puzzles, and darts-on-a-target puzzles, and the whole skill being tested is recognizing that a square, triangle, or circle is the right sample space to draw before you touch any algebra.

When outcomes are continuous and uniform, probability is a ratio of areas (or lengths, or volumes), not a ratio of counts. Draw the sample space as a shape first, then identify the region matching the event, and divide.

Sketch the axes and shade the region before writing any integral or formula — most of these puzzles turn into pure geometry (triangles, circles, bands) once the picture is right, and the arithmetic that follows is simple.

Related concepts

Practice in interviews

Further reading

  • Mosteller, Fifty Challenging Problems in Probability
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