A very very good example of correlation != causation.
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.
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.