In a Bayesian test, what does a Bayes Factor BF10=20BF_{10} = 20BF10=20 imply?
The data is 20 times more likely under H1H_1H1 than under H0H_0H0.
The posterior probability of H1H_1H1 is 20 times the prior probability.
The data is 20 times more likely under H0H_0H0 than under H1H_1H1.
There is a 20% probability that H1H_1H1 is true.