Causal Inference

Big datasets are great... but the majority of this data is not useful for assessing causal questions: Does this cause that?

• More data does not provide answer  to causal question automatically.

• More data of wrong type does not add value, it only make thing harder

• Results from well defined, well built randomized experiment can produce results that can be better than large  and low quality data.

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