Work through birthday collision probabilities, the 50 percent threshold, and the closest-pair spacing among 300 birthdays. The discussion separates discrete dates from a continuous-year model.
Birthday Collisions and the Closest Pair of Birthdays
Company: Virtu
Role: Data Scientist
Category: Statistics & Math
Difficulty: hard
Interview Round: Onsite
Assume birthdays are independent and uniformly distributed through a 365-day year, with leap day ignored.
### Clarifying Questions to Ask
- Is a birthday represented as one of 365 discrete dates or as a continuous time within the year?
- In the “gap” question, do we want the minimum gap between any pair, the average adjacent gap, or a guaranteed upper bound?
- Should people born on the same date count as a gap of zero?
### Part 1 — Collision probability
For (n) people, derive the probability that at least two share a birthday.
#### What This Part Should Cover
- Use the complement event that every birthday is distinct.
- State the valid range of the product and handle (n>365).
### Part 2 — The fifty-percent threshold
Estimate the smallest (n) for which the collision probability is at least (1/2). Show both an approximation and the familiar exact threshold.
#### What This Part Should Cover
- Apply a controlled approximation to the no-collision product.
- Translate the approximation into a numerical value and check the adjacent integers.
### Part 3 — Closest birthdays among 300 people
Explain why “the gap between any two birthdays” is ambiguous. Under a continuous uniform model, derive the expected minimum gap between adjacent ordered birthdays among (n=300) people. Contrast that with the discrete-day model.
#### What This Part Should Cover
- Distinguish minimum spacing from the average spacing of roughly (365/n).
- Give the continuous expected-minimum-spacing scale and interpret it in time units.
- Explain what same-day collisions imply under the discrete model.
```hint Use the complement twice
For collisions, calculate the probability of all distinct dates. For minimum continuous spacing, calculate the probability that every internal spacing exceeds a small value and integrate that survival probability.
```
### What a Strong Answer Covers
- Correct probability formulas and approximations.
- Explicit modeling choices rather than silently switching between discrete and continuous birthdays.
- A defensible explanation for a closest-pair gap much smaller than one day.
### Follow-up Questions
- How does a nonuniform seasonal birthday distribution change the collision probability?
- What is the probability of at least one shared birthday among 300 people?
- How would you estimate the entire distribution, not just the expectation, of the closest continuous gap?
Overview: Work through birthday collision probabilities, the 50 percent threshold, and the closest-pair spacing among 300 birthdays. The discussion separates discrete dates from a continuous-year model.
Birthday Collisions and the Closest Pair of Birthdays
Virtu
Aug 21, 2026
hardData ScientistOnsiteStatistics & Math
1
0
Assume birthdays are independent and uniformly distributed through a 365-day year, with leap day ignored.
Clarifying Questions to Ask Guidance
Is a birthday represented as one of 365 discrete dates or as a continuous time within the year?
In the “gap” question, do we want the minimum gap between any pair, the average adjacent gap, or a guaranteed upper bound?
Should people born on the same date count as a gap of zero?
Part 1 — Collision probability
For (n) people, derive the probability that at least two share a birthday.
What This Part Should Cover Guidance
Use the complement event that every birthday is distinct.
State the valid range of the product and handle (n>365).
Part 2 — The fifty-percent threshold
Estimate the smallest (n) for which the collision probability is at least (1/2). Show both an approximation and the familiar exact threshold.
What This Part Should Cover Guidance
Apply a controlled approximation to the no-collision product.
Translate the approximation into a numerical value and check the adjacent integers.
Part 3 — Closest birthdays among 300 people
Explain why “the gap between any two birthdays” is ambiguous. Under a continuous uniform model, derive the expected minimum gap between adjacent ordered birthdays among (n=300) people. Contrast that with the discrete-day model.
What This Part Should Cover Guidance
Distinguish minimum spacing from the average spacing of roughly (365/n).
Give the continuous expected-minimum-spacing scale and interpret it in time units.
Explain what same-day collisions imply under the discrete model.
What a Strong Answer Covers Guidance
Correct probability formulas and approximations.
Explicit modeling choices rather than silently switching between discrete and continuous birthdays.
A defensible explanation for a closest-pair gap much smaller than one day.
Follow-up Questions Guidance
How does a nonuniform seasonal birthday distribution change the collision probability?
What is the probability of at least one shared birthday among 300 people?
How would you estimate the entire distribution, not just the expectation, of the closest continuous gap?