While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

Why Correlation Usually ≠ Causation

Gwern

"Despite this admonition, people are overconfident in claiming correlations to support favored causal interpretations and are surprised by the results of randomized experiments, suggesting that they are biased & systematically underestimate the prevalence of confounds / common-causation."

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Useful Python decorators for Data Scientists

Marton Trencseni

Six decorators that are useful for data scientists working with notebooks.

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Choose boring technology

Dan McKinley

On avoiding the excessive adoption of new technologies solely for the sake of it.

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