Coin Toss Game: Who Wins with One Extra Flip?
This puzzle is a classic twist on probability:
Two gamblers, A and B, flip coins:
- Gambler A flips \(n+1\) fair coins.
- Gambler B flips \(n\) fair coins.
What is the probability that A ends up with strictly more heads than B?
Step 1: Understand the Setup
Let \( H_A \) and \( H_B \) be the number of heads obtained by A and B, respectively.
We’re interested in computing:
\[ P(H_A > H_B) \]
Given that all coin flips are independent and fair (i.e., probability of heads = 0.5), we want to find this probability exactly.
Step 2: Symmetry Insight
Let’s define a fair framework.
Think of B flipping all their coins first. Then A flips their \(n\) coins plus one extra.
There is a deep symmetry hidden in this setup.
Step 3: Core Result
A beautiful and perhaps surprising fact:
The probability that A gets strictly more heads than B is exactly 0.5.
This is true for all values of \(n\).
Step 4: Intuitive Explanation
Here’s one way to see why:
- Let’s fix the outcomes of B’s \(n\) flips.
- A’s first \(n\) flips can match that exactly—and the extra coin then acts as a tiebreaker.
When A and B tie on the first \(n\) flips:
- A wins half the time (when the extra coin is heads).
- So overall, A has exactly a 50% chance of ending up with more heads.
This matches formal derivations using summations and generating functions as well.
Final Answer
The probability that Gambler A ends up with strictly more heads than Gambler B is:
\[ \boxed{\frac{1}{2}} \]