Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source:
Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that the association between exposure and outcome among those selected for analysis differs from the association among those eligible`
Note that selection bias is when you are sampling. We’re not talking about a sample here, we’re talking about the entire population. In statistics, we call that a parameter. It’s generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we’re certainly missing a few), that 400/13000 number is pretty damn close.
My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high.
Why yeeeeesssssss, I haaaaaaaave. Remind me how that matters at all, considering we are talking about the specific selection that is being made? Here, since I was already using wikipedia as a source:
Note that selection bias is when you are sampling. We’re not talking about a sample here, we’re talking about the entire population. In statistics, we call that a parameter. It’s generally rare that you can accurately determine a parameter, but since the amount of people who have tried to summit everest is so small, and records have been pretty good (aye, we’re certainly missing a few), that 400/13000 number is pretty damn close.
My point is that the number of people who attempted Everest is so low, because the only people who attempt it are those who are very very good, and confident in their skills. So yes, of course the % is going to be relatively high.