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The point is that a random data set will spontaneously produce clustered groups of apparent events that are not due to any underlying cause.


And a non-random data set will produce clusters of correlations which don’t have causal explanations. I’m well aware of this axiom which is why I found it important to address.


And if there were such clusters beyond pure random noise, they'd show up in studies. They don't, hence they're random noise.

How many heads in a row would you expect from an unbiased coin if you flip it long enough?

That is your "clusters of correlation."




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