... models.¹

To understand the quantitative role of the Bayes factors, let us make some examples: 8.4 means that if someone was in serious doubt to believe or not (i.e. $P=50\%$), in the light of the data his/her belief increases to 89%. A BF of 100 would make the same person `practically sure' (99%), or would bring into serious doubt a sceptical person (who had an initial belief of 1%).

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... hypotheses.²

If you are puzzled by the question ``why do frequentistic hypothesis test often work?'', you might give a look at Chap. 10 of Ref. [2].

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