--- title: "Issue #137 - From Randomized to Natural Experiments" url: https://daily.dev/posts/issue-137---from-randomized-to-natural-experiments-9lvbt7dwg source_url: https://mlpills.substack.com/p/issue-137-from-randomized-to-natural type: article source: "Machine Learning Pills" published: 2026-07-23T13:07:12.928Z updated: 2026-07-23T13:17:34.646Z tags: ["machine-learning", "data-science", "statistics"] reading_time: 7 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Issue #137 - From Randomized to Natural Experiments **[Machine Learning Pills](https://daily.dev/sources/mlpills)** · 7 min read · 0 upvotes · 0 comments ## Summary A practical guide to causal inference estimation methods, covering the full toolkit from randomized controlled trials (the gold standard) through adjustment-based methods (regression, matching, propensity scores, doubly robust AIPW) to quasi-experimental designs like Difference-in-Differences. Explains when each method applies, the assumptions each requires, and provides a decision guide for choosing among them. Part 2 of a 3-part series; Part 3 will cover ML-based causal inference including meta-learners, Double Machine Learning, causal forests, and uplift modeling. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [The Causal Inference Playbook: Advanced Methods Every Data Scientist Should Master](https://daily.dev/posts/the-causal-inference-playbook-advanced-methods-every-data-scientist-should-master-pulnpkh7h) · Towards Data Science · 1 upvotes · 0 comments - [Issue \#138 - From Average Effects to Personalised Decisions](https://daily.dev/posts/issue-138---from-average-effects-to-personalised-decisions-g7rpxqyvk) · Machine Learning Pills · 1 upvotes · 0 comments - [Causal ML for the Aspiring Data Scientist](https://daily.dev/posts/causal-ml-for-the-aspiring-data-scientist-xj4ey04uc) · Towards Data Science · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#statistics](https://daily.dev/tags/statistics) [View this post on daily.dev](https://daily.dev/posts/issue-137---from-randomized-to-natural-experiments-9lvbt7dwg)