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Why do you think it has a high chance of dying?


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I’m surprised it is as high as you claim! You’re saying that for that age group, in a given year, the chances are 1 in 200 of dying? That seems like pretty bad odds on something that is literally life and death.

for what it is worth, I believe it is a 0.0X% chance of dying for < 50. Alternatively put, x/10,000.

https://science.sciencemag.org/content/early/2020/05/12/scie...


I think the article mentions this. 50% chance of dying.

Actually I think life has a 100% risk of death.

The chance of dying makes the big difference (I guess, I don't have statistics on hand)

That doesn't seem right, that's a better chance that dying in a fire.

And they still have a great likelihood to die even after.

It's not a somewhat higher risk of dying, it's 35 times higher.

Minor correction: it's actually nearly a 2% chance of dying (1.7%), after Delta became the dominant variant. Folks never really upgraded their talking points but subjectively 2% feels _much_ higher than 1%.

It's usually the percentage chance of dying over the next year.

Isn't there like a 100% chance of death?

A 1/200 chance of death is gigantic.

If it meant a 1 in 7 chance of dying, then I'd say no.

There’s also the Turkey fallacy - Turkeys that are smug about knowing the Gambler’s fallacy keep thinking their survival is independent of their age, until people eat them. My probability of dying goes up with each year as well, it’s not constant.

Think the probability of the machine shutting down in the next minute is independent of age, but it shutting off in the next 100 years is certain. There’s a line or curve that should indicate probability of shutting down before OP writes the replacement.


0.04% Life dies at 0.02% OK

Replacement rate is commonly understood to be slightly above 2 to account for chance of death

Mortality is often used when talking about the likelihood of dying.

I don't think this is the right way to look at this data.

It's a probability distribution you have a certain % of probability to die each year, which grows and peaks around the distribution peak.


The chance-of-death plots should be logarithmic, so we can tell if this exponential is really a good fit. On linear plots, it's hard to distinguish exponential decays from 1/x^n decays.
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