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tony shaw's avatar

Great article. Couple of thoughts on this: "Individuals who view reality as a political construct are significantly more likely to embrace falsehoods, whereas those who believe that their conclusions must hew to available evidence tend to hold more accurate beliefs."

I think that there is a genuine ambiguity about causation in political discussions, and we generally need to use "causal models" as an intermediary between evidence and belief. The causal models used though - within indirect relationships between observations and outcomes in the presence of many other seen and unseen dynamics - are often the contested bit, and nearly always impossible to "prove". (Many authors have addressed complexity and the limits of understanding and prediction, such as Paul Oremord, in his book "Why Most Things Fail")

If I hold to a conspiracy theory that "our government are trying to kill the old people", then how strong a case is there if the government, say, remove winter fuel payments, tax pensions, reduce healthcare and social care, and introduce a euthanasia bill: I could point to studies to say that in 70%-90% of the times that these policies were implemented, they led to higher death rates amongst the old at a disproportionate rate compared to the rest of the population.

The government could claim, in response, it is trying to reduce public costs, stimulate enterprise and increase tax revenues, which will make everyone live longer - and label their critics as conspiracy theorists. They point to studies that GDP/capital (say) correlated with age, and they are trying to lift GDP/capita.

I am pretty sure that my wife and dog engage in illicit biscuit eating sessions. They leave the kitchen and the number of biscuits are less than when they entered. However, in more complex situations than this, then "evidence" is not so much an object (weapon/photo/document/event), but of a more ethereal causality i.e. the forces between objects, usually in the presence of other concurrent forces. It can make it tricky NOT to be a conspiracy theorist. We sometimes have to proceed with the "best imperfect evidence", hold our views lightly, and wait until we are proven wrong. Otherwise, we can come to believe nothing at all when things get complicated.

This is actually the way that the best forecasters* on the planet proceed. They still get it wrong. They piece together disparate evidence, assign probabilities, and update judgements.

(* To be a strong forecaster, you need to understand why things happen i.e. minimise bias in interpreting events and relationships).

Richard Weinberg's avatar

Good stuff. I particularly like ..."Our most successful systems of knowledge production are designed precisely to mitigate these tendencies: by demanding evidence, exposing claims to criticism and treating willingness to discover that one is wrong as an intellectual virtue. "

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