The causal value of Big Data. Two views on causation

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Not everything should be approached quantitatively. Is causation perhaps one of them?

Scientific research relies on data, and preferably lots of it. Population studies and statistical models are used to find and establish causal knowledge. The idea is that the more data we have, the better justification we have for our causal hypotheses. Continue reading

One cause, different effects

ImageOften we behave as if we think that a cause can only have one effect, while in fact it can have many. The type of effect depends on what else there is, besides the cause. In other words, it’s a matter of context. Continue reading