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why do the "flag supported correlations" start with BF above 10?


I want to use Bayes factor analysis of a Pearson's correlation. When using the "flag supported correlations" it uses stars for BF above 10. I would like to know and cite that this is the praxis but cannot find where this is discussed anywhere. From my understanding for other test such as independent sample t-test the praxis has been to use BF above 3 to claim support for either of the H1 or H0. Is there any reason for this? I can not find any source that discusses it.


  • Hi Simon1,

    These thresholds are somewhat arbitrary, and the evidential value is in the continuous measure. See for instance

    So the stars should not be taken too seriously. I am a little hesitant to add a star for the category bigger than 3 and lower than 10, especially because the matrix plot usually has many correlations and a correction for multiplicity may be in order anyway.



  • HI E.J.

    I would argue against the "stars", since they will only provide a cue that will trigger old, learned behaviors, like hunting for them.



  • Hi Georges,

    It actually was more or less a joke, to tease the Bayesians who (correctly) felt that evidence is continuous, not discrete. However, maybe some people find it useful -- you could argue that the non-diagnostic BFs deserve less attention than the diagnostic ones, and the stars are a way to highlight the diagnostic ones. At least the option is there, for those who want this. If multiple people complain (you are the first) we will take it out.


  • well, what a n00b i am. I have no excuses.

    ```{r, }

    holidays %>%

    filter (Christmas == 1)%>%

    lm(happy ~ holiday!!)%>%



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