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S2E2 Build the Camera — How Measurement Design Guides Statistical Testing | EP2: Inference in the Wild
EP2: Build the Camera — Why Measurement Design Trumps Statistical TestingRunning a statistical test is simply pressing the shutter. But designing the measurement system? That is building the…
S1E7 No Interference, No Ambiguity: The SUTVA Assumption ｜ EP7: Causal Inference from the Ground Up
No Interference, No Ambiguity: The SUTVA AssumptionYour randomized experiment is clean. The groups are balanced and comparable. The p-value is significant. But behind the scenes, the treatment is…
S1E6 No Overlap, No Answer: The Positivity Assumption | Ep6: Causal Inference from the Ground Up
No Overlap, No Answer: The Positivity AssumptionA causal effect can only be estimated where a comparison is actually possible. Imagine evaluating a loyalty program where every enterprise customer is…
S1E5 Comparing Apples to Apples: The Exchangeability Assumption | EP5: Causal Inference from the Ground Up
Comparing Apples to Apples: The Exchangeability AssumptionYour dashboard flags a troubling trend: users who contacted customer support have a 40% higher churn rate than those who didn’t. The…
S1E4 The Data You'll Never See: Understanding Potential Outcomes | Causal Inference from the Ground up EP4
You can never see the data you need most to make a decision. 📉It sounds counterintuitive, but the core of Causal Inference isn't just math—it's imagination. 🌌Most Data Science focuses on predicting…
S1E3 Ladder of Causation: How to Upgrade from Prediction to Policy | Causal Inference from the Ground up EP3
Headline: Why your "Perfect" Models are failing the Boardroom.For months, the team worked on the model. The AUC was 0.92. The validation sets were clean. But when you shipped it to the real world?…
S1E2 The Bridge to Truth: Why Identification Comes Before Estimation | Causal Inference from the Ground up EP2
The Infinite Data Trap: Why More Data Won't Save Your Causal ModelsYou have petabytes of user data. Your model has 99% validation accuracy. But when you ask it, "What happens if we change our…
S2E1 The DoubleML Ranking Disaster: Why PLR Fails for Multiple Discrete Treatment | Inference in the Wild EP1
The Ranking Trap: Why PLR Fails with Multiple TreatmentsYou’re testing four different promotional strategies—a discount, free shipping, BOGO, and loyalty points. You run a Partially Linear Regression…
S1E1 The Core Trio of Causal Inference & The Art of Baking a Causal Cake | Causal Inference from the Ground up EP1
The Recipe for Causal Truth: Estimand, Estimator, and EstimateYou have a dataset, a model, and a final number. But can you explain—with precision—what that number actually represents?In the world of…
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Inference & Intelligence Lab has published 9 episodes since January 2026, covering topics in Technology.
Inference & Intelligence Lab is currently moderate with new episodes weekly. Average episode length is 14m.
