I know this isn’t really the point in the post, but I dont think the “roling five d10 every day” or even the “1d00 a year” are good models for the probability of dying. They make sense statistically, when only considering your age and sex, but you yourself knows for example if you have been diagnosed with cancer or not. You might say that you get a cancer diagnosis if the first four d10 are all 1s and the fifth is a 2 or 3. Then once you have the cancer diagnosis, your probability is higher, especially when looking months or years ahead.
The usual mortality statistics dont distinguish between unexpected death and expected deaths. Do anyone know how of a more accurate model of how it is revealed when you die? Im not looking for exact probabilities and not necessarily of the resolution of days. Just something more accurate than the simple model that ignores current health.
I know this isn’t really the point in the post, but I dont think the “roling five d10 every day” or even the “1d00 a year” are good models for the probability of dying. They make sense statistically, when only considering your age and sex, but you yourself knows for example if you have been diagnosed with cancer or not. You might say that you get a cancer diagnosis if the first four d10 are all 1s and the fifth is a 2 or 3. Then once you have the cancer diagnosis, your probability is higher, especially when looking months or years ahead.
The usual mortality statistics dont distinguish between unexpected death and expected deaths. Do anyone know how of a more accurate model of how it is revealed when you die? Im not looking for exact probabilities and not necessarily of the resolution of days. Just something more accurate than the simple model that ignores current health.