But is reality being described any less accurately by one of these two phrases?
When comparing two predictions, the better prediction is the one that leads to less surprise.* That means that oftentimes you may treat false positives as much less important than false negatives, or vice versa. To me, the difference between the two is which error they favor- the first is likely to overestimate the chance someone is gay, whereas the second is likely to underestimate it. Given that the damage done by a wrong guess is asymmetric, which error you favor should likewise be asymmetric.
*I say this instead of “is right more often” because when it’s wrong in a spectacular way that should be counted multiple times. If you say “well, 5/6ths of people haven’t been sexually assaulted, so I can make rape jokes and be ok 5/6ths of the time!” then you are cruelly underestimating the damage done by making a rape joke to a rape survivor. When you count it in terms of surprise, you get the better result of “always assume someone could be a rape survivor.”
When comparing two predictions, the better prediction is the one that leads to less surprise.* That means that oftentimes you may treat false positives as much less important than false negatives, or vice versa. To me, the difference between the two is which error they favor- the first is likely to overestimate the chance someone is gay, whereas the second is likely to underestimate it. Given that the damage done by a wrong guess is asymmetric, which error you favor should likewise be asymmetric.
*I say this instead of “is right more often” because when it’s wrong in a spectacular way that should be counted multiple times. If you say “well, 5/6ths of people haven’t been sexually assaulted, so I can make rape jokes and be ok 5/6ths of the time!” then you are cruelly underestimating the damage done by making a rape joke to a rape survivor. When you count it in terms of surprise, you get the better result of “always assume someone could be a rape survivor.”