undefined | Better HN

0 pointsta9883y ago0 comments

This is assuming your experiment was designed to test your hypothesis and that you model your null hypothesis properly. A p value means nothing anyway until you have both of these. Add to that the fact that many wrongly consider that a high p value disproves the original hypothesis.

0 comments

OrangeMonkey3y ago

I think you got it - there are many ways for studies to fail and its hard, at this time, to validate that a study succeeded except multiple studies confirming the original finding.

Even then, I would worry that the results may be caused by some confounder in the original dataset/design instead of something you can trust.

j / k navigate · click thread line to collapse

0 comments

OrangeMonkey3y ago

I think you got it - there are many ways for studies to fail and its hard, at this time, to validate that a study succeeded except multiple studies confirming the original finding.

Even then, I would worry that the results may be caused by some confounder in the original dataset/design instead of something you can trust.

j / k navigate · click thread line to collapse