3 ms·

Yeah, agree, but how do we compare time slices over probability?

JoeAltmaier 6y ago
That's tricky, agreed. One chance in 1000 every day adds up to a 30% chance in a year for instance. And 1-in-5 every 90 days equals 4-in-5 over a year. If the risk doesn't change over time (if the covid effect is persistent for a year)
- dtertman 6y ago
  > (if the covid effect is persistent for a year) I think that's the important bit. The article (at least) didn't indicate that the same standard applies at the 180, 270, or 360 day mark, so I don't think we can just say COVID patients roll the dice on mental illness 4x as often as the general population. If that's actually being implied, it's horrible.
3PS 6y ago
I feel like you'd probably want to use a Poisson distribution for this, but I can't be bothered to work it out fully.
vharuck 6y ago
In a back-of-the-napkin, spherical-cow, way, it's not too hard. 20% chance it happens in a year means an 80% chance it doesn't. Let's assume (this is the spherical cow) each day has the same chance. We can find it by looking at the chance an adult doesn't get a mental illness in a year. Then, because that's the chance they won't get it every day, it's easier to figure out the daily chance of not getting one. 0.8 = x^365 x = 0.8^(1/365) x = 0.9993888346422956 1 - x = 0.0006111653577044462 So, overall, adults have roughly a 0.061% chance each day of getting a mental illness. Compared to the daily risk for this 90-day period 0.8 = x^90 x = 0.8^(1/90) x = 0.9993888346422956 1 - x = 0.0024763016863216247 So about 0.248% each day for the COVID patients. That's more than four times as high as for all adults. Remember, this is spherical cow stuff. Numbers to use in other calculations need a more experienced statistical approach, I'm sure. But this at least tells us something's different.
- fulafel 6y ago
  As a sanity check the "half as high" background number sounds high? edit: scratch my mistaken numbers - but people would normally (without covid) get many mental illnesses per lifetime?

That's tricky, agreed. One chance in 1000 every day adds up to a 30% chance in a year for instance. And 1-in-5 every 90 days equals 4-in-5 over a year. If the risk doesn't change over time (if the covid effect is persistent for a year)

dtertman 6y ago
> (if the covid effect is persistent for a year) I think that's the important bit. The article (at least) didn't indicate that the same standard applies at the 180, 270, or 360 day mark, so I don't think we can just say COVID patients roll the dice on mental illness 4x as often as the general population. If that's actually being implied, it's horrible.

3PS 6y ago

I feel like you'd probably want to use a Poisson distribution for this, but I can't be bothered to work it out fully.

vharuck 6y ago

In a back-of-the-napkin, spherical-cow, way, it's not too hard. 20% chance it happens in a year means an 80% chance it doesn't. Let's assume (this is the spherical cow) each day has the same chance. We can find it by looking at the chance an adult doesn't get a mental illness in a year. Then, because that's the chance they won't get it every day, it's easier to figure out the daily chance of not getting one. 0.8 = x^365 x = 0.8^(1/365) x = 0.9993888346422956 1 - x = 0.0006111653577044462 So, overall, adults have roughly a 0.061% chance each day of getting a mental illness. Compared to the daily risk for this 90-day period 0.8 = x^90 x = 0.8^(1/90) x = 0.9993888346422956 1 - x = 0.0024763016863216247 So about 0.248% each day for the COVID patients. That's more than four times as high as for all adults. Remember, this is spherical cow stuff. Numbers to use in other calculations need a more experienced statistical approach, I'm sure. But this at least tells us something's different.

fulafel 6y ago
As a sanity check the "half as high" background number sounds high? edit: scratch my mistaken numbers - but people would normally (without covid) get many mental illnesses per lifetime?