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Correlation (in sample) != Correlation (in population) Also, apophenia. E.g. consider constellations. Stars are distributed randomly, but that doesn't stop us
by Double_Cast 12y ago
Correlation (in sample) != Correlation (in population)
Also, apophenia. E.g. consider constellations. Stars are distributed randomly, but that doesn't stop us from making patterns out of them anyways.
- jerf 12y agoIn other words, it equivocates: http://en.wikipedia.org/wiki/Equivocation http://en.wikipedia.org/wiki/Equivocation Wikipedia concentrates on the fallacy angle... in this case it isn't a fallacy, it's sloganeering, since the point is to encourage the viewer to be confused and dig into the two different meanings being used. I think it's not likely to work too well, though.