The Ballot Box Twist: Runs of the Same Color
A bag contains red balls and blue balls, with . They are drawn one at a time without replacement, in uniformly random order. What is the probability that the red balls are never in the minority throughout the drawing โ meaning at every point in the sequence, the number of red balls drawn so far is strictly greater than the number of blue balls drawn so far?
(Assume and count from the very first draw.)
Answer: The Ballot Box Twist: Runs of the Same Color
Key Idea / Intuition
This is a beautiful disguised version of the Ballot Problem. The Ballot Problem says: if candidate A gets votes and candidate B gets votes with , then the probability that A leads B strictly throughout the entire counting is . Here the "votes" are the drawn balls, with red playing the role of the winning candidate. The answer drops out immediately once you see this connection.
The magic of the ballot problem is that it reduces a complex path-counting question to a single elegant formula, proved by a beautiful reflection/cycle argument.
Formal Proof / Solution
Setting up the correspondence.
Label the red balls as and the blue balls as . We draw all balls. Let be the running sum after draws. We want:
Since , we are in exactly the setting of the Ballot Problem.
The Ballot Problem (Bertrand, 1887).
In an election, candidate A receives votes and candidate B receives votes. If ballots are counted in a uniformly random order, the probability that A is strictly ahead of B throughout the entire count is:
Applying to our problem.
With red balls and blue balls:
Sketch of proof via the Cycle Lemma.
Consider all orderings of the balls, or equivalently all sequences of s and s with of and of .
For any such sequence with , consider its cyclic rotations:
Key fact (Cycle Lemma): Among these cyclic rotations, exactly of them have all partial sums strictly positive.
Why? The partial sums of a rotation starting at position are all positive iff we start at a "record high" position of the cumulative sum. A careful counting argument shows there are exactly such starting positions (since the total sum is and the sequence is generic).
Since each of the rotations is equally likely as a random arrangement, the probability that the original (random) sequence has all partial sums is:
Example. With red and blue ball:
You can verify by listing all equally likely positions for the blue ball:
- Blue in position 1: โ (immediately tied or behind)
- Blue in position 2: RBRR โ after draw 2: red, blue โ
- Blue in position 3: RRBR โ after draw 3: red, blue โ
- Blue in position 4: RRRB โ all prefixes โ
Favorable outcomes: 2 out of 4 โ โ matches .
Source: Fifty Challenging Problems in Probability with Solutions (Frederick Mosteller), classical folklore