collinearity and LR

I am running LR. There are high correlations between some of my
continuous predictors. The tests for colllinearity are positive. My
question may be a silly one......what is the difference between
collinearity and confounding. It seems like they would be the same
thing. However, one is encouraged to keep confounders in the model and
encouraged to drop collinear variables. What am I missing. I have
mostly handled my analysis by dropping one where I see evidence.

Mcap

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