Anecdotally, my father-in-law was chief of staff for a small city hospital and they had a rule about not scheduling afternoon surgeries on important days like anniversaries, birthdays, etc. Basically, if the surgery started going long, you didn't want the surgeon worrying about missing their spouses birthday, birthday with their kids or an anniversary. It actually wasn't that many surgeries delayed, as the surgeon ju…
This is spot on. The causality can be both ways.
Note that it would be interesting to dig into what is really computed here, because the whole wording seem intentionally sensationalistic.
1) "23% more likely to die" seems _huge_, but it applies to an already very small chance. The mortality rate just goes from 5.6% to 7%. Using this logic, moving from 0.1% mortality rate to 0.3% would mean "you are 3 times more likely to die".
2) Comparing mortality rates only make sense if the distribution of operation complexity are identical for these days. As the parent post suggest, it seems very likely that low complexity operations are postponed after a surgeons birthday.
3) Where are the confidence intervals? I refuse to even consider looking at a statistics if error boundaries and significance metrics are not provided.
That may very well all be provided in the underlying paper, but the article itself does not really discuss these points.