Causality is the area of statistics that is commonly misunderstood and misused by people in the mistaken belief that because the data shows a correlation that there is necessarily an underlying causal relationship
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Therefore, every time someone’s argument uses correlations or the absence of, you know he is wrong.
Correlations, or their absence of, can never be used as a proof.
Only people with very bad statistical knowledge affirm the opposite . They make a special kind of fool when they then affirm to have a PhD, since that’s one of the most important thing you are warned against when doing a PhD. Like this one :