No, but it means in a large enough sample size the actual data will in fact approach that number.
1 in 4 dying doesn't mean 1 person will die out of a group of 4.
It does mean that out of 20 million people, the number of dead will be near 5 million.
The sample size they are dealing with is large enough to provide accurate statistics.
You also have to factor in time frames. There is a 100% death rate for every living creature on this planet. But not today.
I suspect they used time frames to extend those numbers because it's easily provably false any other way. As he said, even one person dying in that age range gives the lie to that stat, and a lot more than 1 have died from it.
It's more likely to be something like "On any given day, people 50-64 in California have a 1 in 19 million chance of dying from covid."
No, but it means in a large enough sample size the actual data will in fact approach that number.
1 in 4 dying doesn't mean 1 person will die out of a group of 4.
It does mean that out of 20 million people, the number of dead will be near 5 million.
The sample size they are dealing with is large enough to provide accurate statistics.
You also have to factor in time frames. There is a 100% death rate for every living creature on this planet. But not today.
I suspect they used time frames to extend those numbers because it's easily provably false any other way. As he said, even one person dying in that age range gives the lie to that stat, and a lot more than 1 have died from it.
It's more likely to be something like "On any given day, people 50-64 in California have a 1 in 19 million chance of dying from covid."