Unlock Causal Insights Faster: The ‘Local Causal Detective’ Approach Post date October 19, 2025 Post author By Arvind Sundararajan Post categories In ai, causality, datascience, machinelearning
How to Tell If a Policy Actually Worked: A Step-by-Step Causal Inference Example in Python Post date October 9, 2025 Post author By Ari Joury, PhD Post categories In causal-inference, causality, data-analysis, data-science, python
Beyond the Blast Radius: Demystifying and Mitigating Cascading Microservice Issues Post date July 31, 2024 Post author By Karina Babcock Post categories In causality, devops, microservices
Regression Discontinuity Design: a Primer for Data Scientists Post date July 5, 2024 Post author By Arthur Mello Post categories In causal-inference, causality, data, regression, Research
What Do Nobel Prize and Your Business Have in Common? Natural Experiments Post date October 22, 2021 Post author By Nikola O. Post categories In blogging-fellowship, business-impact, causality, correlation-and-causation, data-analysis, hackernoon-top-story, nobel-prize, user-research