True, the example I gave didn't specifically illustrate any particular bias. However, I think there was a little bit of anchoring and confirmation bias involved. He expected to see an alcohol-OD patient. He saw a lot of symptoms that fit the diagnosis. I don't know her specific case, if there were symptoms he missed or disregarded, but it's probably a safe assumption.
The thing is - yes, alcoholism is the most likely hypothesis. However, anyone could say that alcoholism was the most likely hypothesis; it's the doctor's job to also consider the unlikely ones (especially the potentially fatal ones). That concept gets drilled into our head constantly over here. You're right - "pretending it's the worst-case-scenario" is wrong, but seriously considering the worst-case scenario is essential. A CT would have been wrong, but there are other tests (i.e. finding problems with one side of the body but not the other is a dead-giveaway).
I don't want to rag on this doc - this patient was coming from a party, and I don't know if her specific case could easily be distinguished from excessive alcohol use. But it did help drive home the importance to keep my eyes open.
Also, is there some sort of reasonable threshold? It's not as though strokes are extremely rare, though they are rare compared to getting drunk on Friday night.
Yesterday in medical school, we had a lecture on common mistakes doctors make. I saw this slide:
Attribution Errors
Confirmation Bias
Commission Bias
Omission Bias
Anchoring