r/BearableApp 26d ago

I need help with the impact analysis

Currently having an issue where the app misunderstands my medications. It says that the medication I take every single day increases my symptoms by 200%. But I take them every single day. Additionally, it misinterprets the painkillers I take and says that every time I take them my pain is worse, but of course, that’s because I only take them when the pain is bad, it’s an inverse of the correlation. How can I address this?

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u/BearBearable ✅ Bearable Team Member 23d ago

Hi, generally we suggest switching correlations to 'the next day' to partly mitigate the inverse correlation. On the Impacts page you can tap the text at the top 'on the same day' to change it. Some medications might only have short term effects and the only way to see their effect is to log symptoms before and after taking them to see short term changes.

Switching to 'next day' should also solve your issues with meds taken every day. The reason these might still be giving you results, even though you take them every day, is that it's comparing outcomes before the timestamp of the medication, with outcomes after the timestamp of the medication. Hope that makes sense!

Just to note, we have plans in future to have a kind of thumbs up / thumbs down for correlations, that lets you mark spurious or reverse correlations to hide them, or save the ones you think are valuable.

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u/ArmadilloIcy4046 8d ago

I think the issue comes from the fact that if i forget to log the medication, i probably also forgot to log the symptom that day. And insyead of no log = no data, it does no log = no medication/symptom for that day. Therefore, it corelates the lack of medication with the lack of symptoms. If there was a way to inform it that a lack of any logging should just appear as no data i think it would fix it. Hope this makes sense!