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ML's Fatal Flaw: Predictions Without Causation

Accuracy hit 94%. Readmissions soared. ML's prediction party is over—causal inference just crashed it.

Elena Vasquez 📅 Mar 23, 2026 ⏱️ 2 min read 👁️ 16 views

⚡ Key Takeaways

ML excels at prediction but flops on actions due to missing causation.
Judea Pearl's Ladder reveals the gap: association vs. intervention vs. counterfactual.
Real-world disasters like HRT prove ignoring confounders costs lives and billions.

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Senior editor at theAIcatchup. Generalist covering the biggest AI stories with a sharp, skeptical eye.

#causal inference #judea-pearl #machine-learning #simpsons-paradox

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Originally reported by Towards Data Science