A collection of cool articles that I have read separated by categories and such:

Life/Philosophy:#

  • Causation is not Correlation:
    • Hume’s Insight: Causal Inference always involves something we add to the data, not something that the data contains on its own.
    • Correlation does not imply causation but the converse too is true: The absence of correlation does not imply an absenece of causation.
    • Correlation measures association = whether knowing X tells you something about Y. Causation asks whether changing X would change Y.
    • Correlation is symmetric while Causation is not symmetric.
    • Correlation can be low because of non-linear relationships e.g. Moderate Strees increase Performance while excessive stress decreases, offsetting paths between variables, heterogeneous effects (avg effect being zero).

Politics and Policy:#