Unit2Sucks said:
BearGoggles said:
Unit2Sucks said:
BearGoggles said:
Unit2Sucks said:
BearGoggles said:
bearister said:
Coronavirus cases aren't surging in high-risk states - Axios
https://www.axios.com/coronavirus-cases-map-high-risk-states-8ceeaa05-cc07-4e8b-b9f4-df3a3315f143.html?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosam&stream=top
This article/link supports reopening (which as you know, I'm in favor of), but the numbers seem to be unreliable. Measuring cases over a 7 day average is not a proper metric unless you correct for changes in testing during that period. Obviously, the number of reported cases is strongly correlated to the number of tests. I suspect CA is showing more cases because of increased testing.
If we knew that testing was constant or increasing in all states (which could be the case), then the numbers would have more significance. Hopefully that is the case.
Curious as to what specific basis you have for this belief. The LA Times has a nice page showing county level growth (among a number of other things), and it appears that LA county is growing more quickly than other places and that this is driving the growth statewide. When I look at the historical data, it appears that the daily positive test rate has been fairly consistent the past few weeks, which would indicate that the testing is increasing more or less proportional to the number of infected.
I would like to think that the spread of the virus is slowing throughout the state, the way it appears to be in the bay area, but I don't have a strong basis to do so. If you have such a basis, I would love to hear it.
Here's the county by county chart I mentioned:

And additional data for every county with more than 1k cases:

Nothing you posted shows the positive test rate/percentage per 1,000 tests (or similar) or, for that matter indicates who is being tested. That info might be backed out if I was willing to take the time - which I'm not. There is a potential (likelihood) of selection bias since the tests are not being administered randomly.
I provided a link to which you could determine the daily positive rate. I've calculated it and it's within a fairly narrow band for the last few weeks. Rather than do the math (which is quite simple), you prefer to just assume that you are correct without inspection.
What this amply demonstrates is that you are more interested in asserting a narrative than actually obtaining the truth. Everyone can "just ask questions" to push whatever narrative they are interested in pursuing and you consistently do so while ignoring people who present data that confounds your preferred narrative.
You've mentioned a few different types of data that might be valuable, concluded that they wouldn't be perfect and then assumed that the narrative you've chosen is probably right because no reasons.
For everyone keeping score at home, this is yet another example of BG pushing an unsupported theory that allows him to make a baseless claim and manage to insult anyone who is actually interested in having a conversation based on facts and data.
With people like this pushing the "we must open now" narrative, is there any wonder that people who care about doing the right thing are urging caution?
Man are you dense or acting in bad faith (or both). I specifically said I didn't do the math because the results would not be instructive due to statistical flaws.
So I didn't waste my time, particularly because the data cannot be easily exported - at least that I could find after a brief look. If you feel the data is accurate and important, feel free to do your own homework.
Seriously - I started off pointing out that stats someone else posted arguably showing reduced cases/spread and which support my preferred outcome (reopening) were flawed and shouldn't be used for that purpose. Why in the world are you criticizing me for that? Unlike you, I was being intellectually honest.
I literally did not use this data to support an "open now" narrative - I did the exact opposite and said the data did not necessarily support that. You - not me - seems to be suggesting the case data might (not for sure) show a slow of spread.
Every post from you includes a personal attack - simply because we disagree about a policy preference. You transparently include ad hominim attacks and then claim to be taking the high road. You cite to data that is not helpful or statistically valid - and which you admit may not be accurate - and then accuse me of ignoring facts and data.
I'm the one preventing an honest discussion? That's rich.
What are you talking about? I quoted your post and highlighted where you said "I suspect CA is showing more cases because of increased testing." I asked you what your basis was for that statement. I presented data showing daily testing results with which you could easily confirm, as I did, that the daily testing rates were consistent which would not support your statement. I asked you to provide the basis for your statement but you chose not to.
So spare us the hysterics. I was perfectly polite but you were unable to back up your (apparently baseless) statement so you went on a gish gallop of points that basically amount to "you can't trust any data". If you don't want people to ask you about unsupported statements, perhaps you came to the wrong place.
Let's break this down:
1. Bearister posts that Corona
cases are not surging in high risk states. Not just CA, multiple states.
https://www.axios.com/coronavirus-cases-map-high-risk-states-8ceeaa05-cc07-4e8b-b9f4-df3a3315f143.html?utm_source=newsletter&utm_medium=email&utm_campaign=newsletter_axiosam&stream=top2. I post that unfortunately, the data which appears to support reopening arguments might not due to testing/statistical problems. Said problems include, but are not limited to the fact that the gross case counts don't adjust for increases in testing. I write that I "suspect" the increase in "cases" might be due to increased testing. I didn't say I "knew that" - I thought it was possible/likely. And I didn't say that was the only reason case counts might increase.
I said that at this point (the outset of the pandemic) the "number of reported cases, is strongly correlated to the number of tests." Somehow that was controversial to Unit2, who is always looking to dispute a point and construct strawmen, all to justify launching another ad hominem attack.
One thing we know - for a fact - is that we started with literally no test/testing and generally speaking there has been a steady increase in nationwide testing over the last month (or whatever period you want to pick since March). True in CA as well where the most significant increases in testing have come more recently.
https://abc7news.com/california-coronavirus-update-testing-for-covid-contra-costa-county/6164793/Its really not complicated. You get confirmed cases by running tests. The more tests, the more cases.
Is it possible that the increased CA case count is due
solely to a factors other than increased testing? Yes - theoretically possible but not likely. Which is why I said "suspect."
Are you really disputing the logic that if you test more people, you'll get more positives reported?
3. Unit2 then posts links that he claims prove positive test percentages/rates have been consistent in CA including this one:
https://covidtracking.com/data/state/california#historicalThat's contrary to the link posted above and other reports. Maybe there's something wrong with Unit2s link? Could that be? Let take a closer look . . .
4. It turns out, Unit2's link doesn't even show what he thinks it does. Specifically, it does not show "new cases" or any change in the percentage
of people with new positives.
Said link specifically says that it is showing positive
specimens - not positive people and not new cases. It also reveals that CA changed its testing methodology:
"As of April 22, California now reports specimens tested instead of people tested. Because some people may be tested more than once, this number is probably higher than the number of people tested."They changed the methodology midway, making before/after comparisons and conclusions hard to reach. If a sick person gets tested 4 times (to see if they've cleared the virus), that is 4 positives in Unit2s chart. One case/person = multiple positives.
5. So literally, the numbers Unit2 linked to do not show new
cases or even new people tested. As a result, based on those numbers, it is not possible to calculate whether spread is increasing/decreasing and/or if the percentage of new people (not specimens) testing positive is increasing or decreasing.
In sum, the numbers are useless for calculating changes in the rate of spread.
And, contrary to your claim, you did not present "data" confirming "the daily testing rates were consistent " Your data is trash and shows no such thing.
6. All of this proves my original point, we don't really know who is tested which introduces selection bias and other problems into the numbers. We certainly don't know the number of new cases - at least not from the data Unit2 posted. In looking at the CA official site, it appears that's not available there either.