I read that regression was originally developed as a technique
to develop propensity scores to be used in contingency tables, not to
develop models that adjust for confounders as it is used now.

This is hard to believe by someone like me who uses regression daily
for the purpose of adjusting for confounders..

I've lost the book I read this in, but it had no references in this
regard.

Can anyone comment on this?  Eg., is there a seminal paper in which
some turning point visible?
.
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