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originally posted by: Blaine91555
originally posted by: 00018GE
Can someone explain this graph of daily new cases from Kansas? There is a large spike every few days, but only for one day each time. It's almost like two graphs laid on top of each other. No other state's graph looks like this. I think the data has been monkeyed with.
www.worldometers.info...
Those big spikes are likely the days when test results are returned.
originally posted by: Agit8dChop
originally posted by: incoserv
originally posted by: LookingAtMars
a reply to: 00018GE
... I know, it doesn't prove lockdowns don't work. ...
I've seen nothing yet that proves to me that lockdowns do work.
Melbourne Australia had a 2nd outbreak. 700+ daily infections was the peak. The city locked down 4 weeks ago, now they are getting 150 infections per day and its falling rapidly.
An infectious respiratory virus cannot spread if there are not people interacting.
This lockdown has worked
originally posted by: chr0naut
a reply to: 00018GE
Yes, there are a number of weird graphs like this that I would take to indicate some sort of systematic error in reporting.
But it could also be because of mass contact events and variations in testing, especially in places that have smaller populations overall but with high population densities concentrated in places.
originally posted by: muzzleflash
a reply to: Ksihkehe
I suggest we return to 2019 policy.
Testing tracking any cold virus is too expensive, doesnt help stop it cuz it's unstoppable, and in fact they didnt bother building statistical data either.
Cuz its all pointless and doesn't tell us hardly anything at all.
Can we go back to sanity please and stop all this wasteful economy crashing nonsense?
originally posted by: Ksihkehe
originally posted by: chr0naut
a reply to: 00018GE
Yes, there are a number of weird graphs like this that I would take to indicate some sort of systematic error in reporting.
But it could also be because of mass contact events and variations in testing, especially in places that have smaller populations overall but with high population densities concentrated in places.
When it's contracted, incubation time, and severity of symptoms all contribute.
These daily graphs are stupid when testing isn't done daily. It makes for more sense to use a 14, 20, or 30 day moving average to track case numbers on a macro scale. Even better if there's daily with a short moving average and long moving average. Unfortunately these numbers are being used for propaganda rather than providing real info.
originally posted by: chr0naut
originally posted by: Ksihkehe
originally posted by: chr0naut
a reply to: 00018GE
Yes, there are a number of weird graphs like this that I would take to indicate some sort of systematic error in reporting.
But it could also be because of mass contact events and variations in testing, especially in places that have smaller populations overall but with high population densities concentrated in places.
When it's contracted, incubation time, and severity of symptoms all contribute.
These daily graphs are stupid when testing isn't done daily. It makes for more sense to use a 14, 20, or 30 day moving average to track case numbers on a macro scale. Even better if there's daily with a short moving average and long moving average. Unfortunately these numbers are being used for propaganda rather than providing real info.
I think, however, that daily graphs do have some utility especially as there are short-term events that can be identified as primary indicators of an outbreak or cluster.
The spikiness of the graphs don't invalidate the overall numbers in instances where the data is not fully recorded in the timeframe in which it is collected.
originally posted by: muzzleflash
a reply to: Agit8dChop
These charts show definitively that when ppl came outside it got going strong.
The cold will never go away. Its integral to our biology actually. We need viruses and they need us.
Lockdown only delays.
And in fact all this isolation and overuse of disinfectants is making everyone more susceptible to all disease as their immune systems have little to work with.
This apply to every respiratory attacking highly infectious pathogen.
Once they come outside, they're weaker and then boom huge disease spike.
originally posted by: muzzleflash
a reply to: Agit8dChop
You cant tamper with Corona very much currently. We are primitive geneticists.
I don't believe the Wuhan story anymore.
I think Covid 19 is in reality Corona every other year.
Oh and its absolutely the common cold.
No one will ever undo that fact.
originally posted by: Ksihkehe
originally posted by: chr0naut
originally posted by: Ksihkehe
originally posted by: chr0naut
a reply to: 00018GE
Yes, there are a number of weird graphs like this that I would take to indicate some sort of systematic error in reporting.
But it could also be because of mass contact events and variations in testing, especially in places that have smaller populations overall but with high population densities concentrated in places.
When it's contracted, incubation time, and severity of symptoms all contribute.
These daily graphs are stupid when testing isn't done daily. It makes for more sense to use a 14, 20, or 30 day moving average to track case numbers on a macro scale. Even better if there's daily with a short moving average and long moving average. Unfortunately these numbers are being used for propaganda rather than providing real info.
I think, however, that daily graphs do have some utility especially as there are short-term events that can be identified as primary indicators of an outbreak or cluster.
The spikiness of the graphs don't invalidate the overall numbers in instances where the data is not fully recorded in the timeframe in which it is collected.
That's not really how epidemiology works. You do a derived date based on symptom onset which can then, maybe, be connected to other known cases. Daily testing numbers show how many people test positive on that day. After interviews happen they can do a derived date graph, but people are incredibly unreliable in remembering their own activities in my experience.
There are too many unknown variables for all this testing to be worth much except for quarantine, isolation, and treatment. Most of this data won't be all that valuable for a year or more after everything is pooled and analysed.
ETA: This has nothing to do with how severe a disease either of us thinks it is, how best to stop it, or any other opinion. It's just the harsh reality of how nearly impossible it is to track a disease like this.