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richard_dawkins_-_the_god_delusion

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106 T H E G O D D E I, U S I O N

hypothetical murder as his test case to demonstrate Bayes'

Theorem. The detective marshals the evidence. The fingerprints on

the revolver point to Mrs Peacock. Quantify that suspicion by

slapping a numerical likelihood on her. However, Professor Plum

had a motive to frame her. Reduce the suspicion of Mrs Peacock by

a corresponding numerical value. The forensic evidence suggests a

70 per cent likelihood that the revolver was fired accurately from

a long distance, which argues for a culprit with military training.

Quantify our raised suspicion of Colonel Mustard. The Reverend

Green has the most plausible motive for murder.* Increase our

numerical assessment of his likelihood. But the long blond hair on

the victim's jacket could only belong to Miss Scarlet. . . and so on.

A mix of more or less subjectively judged likelihoods churns around

in the detective's mind, pulling him in different directions. Bayes'

Theorem is supposed to help him to a conclusion. It is a mathematical

engine for combining many estimated likelihoods and

coming up with a final verdict, which bears its own quantitative

estimate of likelihood. But of course that final estimate can only be

as good as the original numbers fed in. These are usually

subjectively judged, with all the doubts that inevitably flow from

that. The GIGO principle (Garbage In, Garbage Out) is applicable

here - and, in the case of Unwin's God example, applicable is too

mild a word.

Unwin is a risk management consultant who carries a torch for

Bayesian inference, as against rival statistical methods. He

illustrates Bayes' Theorem by taking on, not a murder, but the

biggest test case of all, the existence of God. The plan is to start

with complete uncertainty, which he chooses to quantify by assigning

the existence and non-existence of God a 50 per cent starting

likelihood each. Then he lists six facts that might bear on the

matter, puts a numerical weighting on each, feeds the six numbers

into the engine of Bayes' Theorem and sees what number pops out.

The trouble is that (to repeat) the six weightings are not measured

quantities but simply Stephen Unwin's own personal judgements,

turned into numbers for the sake of the exercise. The six facts are:

* The Reverend Green is the character's name in the versions of Cluedo sold in

Britain (where the game originated), Australia, New Zealand, India and all other

English-speaking areas except North America, where he suddenly becomes Mr

Green. What is that all about?

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