That's not how stats work. Stats just give odds of something happening. They don't literally tell you how many people it will happen to.
Simply put, say the odds of dying were 1 in 4. That means your chances of dying are 25%. That does not mean that one person will always die out of every 4 people. It could be none die, or they all could die, or anything in between.
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."
What do you mean? Women have a 1 in 7 chance of getting breast cancer
That means 1 in every 7 women, statistically, will end up diagnosed with it
So that's why the Cali stat makes no sense. There are 2.5 million people in that age range, so even if only 100 people died, that's already a 1 in 25,000 chance (still very good odds to be fair)
That's not how stats work. Stats just give odds of something happening. They don't literally tell you how many people it will happen to.
Simply put, say the odds of dying were 1 in 4. That means your chances of dying are 25%. That does not mean that one person will always die out of every 4 people. It could be none die, or they all could die, or anything in between.
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."
What do you mean? Women have a 1 in 7 chance of getting breast cancer
That means 1 in every 7 women, statistically, will end up diagnosed with it
So that's why the Cali stat makes no sense. There are 2.5 million people in that age range, so even if only 100 people died, that's already a 1 in 25,000 chance (still very good odds to be fair)
What do YOU mean? You aren't making any sense.
I've explained myself thoroughly.
If there were only 2.5 million people in California ages 50-64, the states total population would only be like 10 or 12 million.
Wrong. https://www.infoplease.com/us/census/california/demographic-statistics
I don't know why you are being downvoted. The people responding to you have no idea what they are talking about.
Nothing new unfortunately.