Explain Simpson's paradox with an example

Last updated: March 29, 2026

Quick Overview

Explain Simpson's paradox in simple terms and provide a concrete example.

Splunk
Analytics & Experimentation
Product Manager
Splunk
March 29, 2026
Product Manager
Technical Screen
Analytics & Experimentation
Easy

135

7

260 solved


Explain Simpson's paradox in simple terms and provide a concrete example.

Analytics questions at Splunk evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Technical Screen question tests your end-to-end analytical thinking.

What the Interviewer Expects
  • Define clear success metrics aligned with business goals
  • Propose a basic experimental design with control and treatment groups
  • Interpret results correctly and draw reasonable conclusions
  • Identify obvious confounding variables
Key Topics to Cover
Novelty and primacy effects
Guardrail metrics
Simpson's paradox and ecological fallacy
Funnel analysis and cohort analysis
How to Approach This
  1. Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
  2. Run experiments long enough to account for novelty effects and weekly seasonality.
  3. Use funnel analysis to identify where users drop off for maximum optimization impact.
  4. Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
  5. Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
  • How would you handle interference between treatment and control?
  • What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
  • How would you handle an experiment where the control and treatment groups are different sizes?
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Sample Answer
Problem Setup

In order to explain Simpson's paradox, we need to understand how it can manifest in data analysis. The analytical question is: "Does the treatment group perform better than the control group when anal...

Methodology

To analyze the data and illustrate Simpson's paradox, we will use a comparative statistical approach. Specifically, we will calculate the success rates for both groups and visualize the results using ...


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