Low probabilities tend towards non-indendence, often just enough to get you into deep trouble.
Stated differently: Variables generally tend towards non-independence. This means that outliers in one variable tend to be outliers in others. Likewise, with means.
As a result, the assignment of causality favors the variable estimated with the greatest positive bias.
We see what we want to see, through science or not.
Stated differently: Variables generally tend towards non-independence. This means that outliers in one variable tend to be outliers in others. Likewise, with means.
As a result, the assignment of causality favors the variable estimated with the greatest positive bias.
We see what we want to see, through science or not.
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