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This is a medium difficulty Statistics & Math question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Meta during technical interviews.

Describe Facebook User Comment Distribution Shape and Justification

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's ability to characterize count data distributions, recognize features such as zero-inflation and heavy tails, and reason about appropriate statistical families and validation approaches.

Characterizing Comments per User on Facebook

Context

You are analyzing the number of comments made by each user over a fixed time window (e.g., 30 days). Each user contributes a non-negative integer count (0, 1, 2, ...). Many users may make no comments in the window, while a small fraction may be very active.

Task

Describe or sketch the empirical distribution of per-user comment counts and justify the distributional shape you expect to observe. Briefly note a reasonable statistical family to model it and how you would validate that choice.

Solution

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