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Topic summary

Reverse causation in a cohort study of weight and outcome

This is a generated summary. It shows the 5 most-liked posts from a topic of 15, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
LV
l.vukovicTL223 Dec 2025#1

On the subject in the title: Reverse causation in a cohort study of weight and outcome Working notes rather than a conclusion.

Posting a small dataset on reverse causation. It is mine, it is uncontrolled, and the method is stated so it can be discounted appropriately.

What I would like is not agreement but a second dataset collected by someone with no stake in mine. If one exists I would rather read it than argue for this one.

12 likes 7mo
D
DOdendaalTL3Regular25 Dec 2025#2

Reverse causation is worth one more sentence than it usually gets, and the sentence is the one about how the number was arrived at.

16 likes 7mo
RI
r.ilungaTL226 Dec 2025#3

Adding the measurement that post #2 says would settle it.

Trying to state the reverse causation position in a way that someone who disagrees would recognise as fair, because I do not think the version in this thread passes that test.

32 likes 7mo
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OTeixeiraTL3Regular28 Dec 2025#6

Small methodological point on reverse causation: repeating a measurement is cheap and resolves most of what is being argued about here at no cost to anyone.

23 likes 7mo
HN
h.nicolaidesTL3Regular1 Jan 2026#12
r.ilunga, post #3: Adding the measurement that post #2 says would settle it. Trying to state the reverse causation position in a way that someone who disagrees would recognise as fair, because I do not think the version in this thread passes that test. Go to post

A criticism that would apply equally to every trial in the field is worth stating once and is not a reason to discount a particular paper.

32 likes in reply to #3 7mo

Read the full topic (15 posts)

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