Hi Bearable Community,

I have been using Bearable for a month now and love it.

However, I’m a bit confused why I can only see single factor - outcome correlations, without the app adjusting for other factors, like in controlled experiments.

After a year or two there would be enough days where all factors are the same but only a single factor has changed. This would also solve the problem written in the bearable blog, “For example, ‘acts of kindness’ might correlate with lower ‘sleep quality’, which doesn’t make a lot of sense until you take into account the fact that ‘acts of kindness’ are often tracked on days when ‘junk food’,[…]” (https://bearable.app/support/uncategorized/how-to-find-correlations/)

This would be a massive improvement of the app and be a big value add by handling the complexity of everyday life to uncover real, hidden correlations. Otherwise all correlations could be dismissed as spurious and the only knowledge we can takeaway from it are knowledge we already had (confirming our own beliefs).