The government need to learn about the link between correlation and causality. Denial of culpability is not good enough.

Reblogged on: https://sassonhann.wordpress.com/

Comment: Yet again Kitty goes into some detail to explain that the repeated line from the DWP – that it would be wrong to infer any casual link between the deaths and the mortality rates – is a complete misnomer.

Kitty explains why this is the case, that correlation indeed implies association with regard to the figures, yet DWP analysts have done no follow up research with regard to the matter.

This excellent analysis from Kitty should be shared far and wide: it is vitally important!

Politics and Insights

IDS_n

Correlation isn’t quite the same as causality. When researchers talk aboutcorrelation, what they are saying is that they found a relationship between two, or more, variables. “Correlation does not mean causation” is a quip that researchers chuck at us to explain that events or statistics that happen to coincide with each other are not necessarily causally related.

Correlation means that an association has been established, however, and the possibility of causation isn’t refuted or somehow invalidated by the establishment of a correlation. Quite the contrary. Indeed an established association implies there may also be a causal link. To prove causation, further research into the association must be pursued. So, care should be taken not to assume that correlation never implies causation, because it quite often does indicate a causal link.

Whilst the government deny there’s a causal link between their policies and an increase in premature…

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