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Re:Storks Deliver Babies (p= 0.008) by ThreeFx on Tuesday October 06, 2020 @02:23PM (#24700799)
A very very good example of correlation != causation.
Re:Storks Deliver Babies (p= 0.008) by enan on Tuesday October 06, 2020 @03:29PM (#24701438)
The causation does exist but in a different direction (see the GP's post about storks and chimneys).
Re:Storks Deliver Babies (p= 0.008) by elcomet on Tuesday October 06, 2020 @03:45PM (#24701586)
GP's post was about storks on houses.

This article studies the number of storks in a country overall.

So it's not really related. I'd say total storks in a country and total births in a country are more related to the size of the country.

Re:Storks Deliver Babies (p= 0.008) by mistermann on Tuesday October 06, 2020 @03:14PM (#24701298)
Is there a formal notation for always or usually?
Re:Storks Deliver Babies (p= 0.008) by renewiltord on Tuesday October 06, 2020 @05:25PM (#24702496)
Yes, P(correlation ∩ causation) = 1 would be textually written as "It is almost certain that correlation and causation occur together". Or to bring you closer to the example, you could say P(causation | correlation) = 1 to say "It is almost certain that causation exists if correlation exists".

You can alter the right-hand side, but then you have to stop saying 'almost certain' because everyone assumes that means a measure one set.

So, for instance, you might believe that P(causation | correlation) = 0.8 across all human chosen distributions. You might well be right since adversarial distributions are so rarely chosen, i.e. there is a meta-effect where humans are choosing interesting queries in the first place.