F
Flyguy
Guest
On Friday, April 3, 2020 at 8:05:40 PM UTC-7, Bill Sloman wrote:
I repeat, if you are going to accuse someone of being stupid, you had BETTER spell it right! Otherwise you are admitting that it is YOU that is "STUPD"
Again, your ONLY skill is insulting people. You must lead a lonely life.
Nope, senseless is what you wrote, you don't even try to defend it.
If you were as smart as you claim (which you aren't) you would have read where I explained it. To repeat for the dull, infection rate is cases per million residents, NOT cases per day.
You haven't done ANYTHING - just complained about what I did. My numbers don't suffer from these problems, they get right to the point. In fact, in Pres Trump's news conference today, Dr. Deborah Birx identified their problem areas beyond NY, LA and NJ: Conneticut, Michigan, D.C., Colorado. These are all in my top 10 by infection rate.
Growth in cases is a difference.
The "garbage" you're talking about comes from the CDC - I didn't manufacture it. It is far from perfect because most COVID cases are never confirmed, only the most severe ones. But it is all we have - and all you have to compute (if you ever do) R0. What is truly garbage is the data out of China.
On Saturday, April 4, 2020 at 5:56:19 AM UTC+11, Flyguy wrote:
On Thursday, April 2, 2020 at 10:08:59 PM UTC-7, Bill Sloman wrote:
On Friday, April 3, 2020 at 2:49:00 PM UTC+11, Flyguy wrote:
On Thursday, April 2, 2020 at 8:31:23 PM UTC-7, Bill Sloman wrote:
On Friday, April 3, 2020 at 4:18:07 AM UTC+11, Flyguy wrote:
On Wednesday, April 1, 2020 at 11:18:19 PM UTC-7, Bill Sloman wrote:
On Thursday, April 2, 2020 at 8:40:27 AM UTC+11, Flyguy wrote:
On Tuesday, March 31, 2020 at 6:33:32 PM UTC-7, Bill Sloman wrote:
On Wednesday, April 1, 2020 at 4:27:21 AM UTC+11, Flyguy wrote:
On Tuesday, March 31, 2020 at 1:15:50 AM UTC-7, bitrex wrote:
On 3/31/2020 2:21 AM, Flyguy wrote:
On Monday, March 30, 2020 at 7:00:42 PM UTC-7, bitrex wrote:
On 3/30/2020 9:19 PM, Flyguy wrote:
On Monday, March 30, 2020 at 3:26:05 PM UTC-7, Uwe Bonnes wrote:
snip
Flyguy does see the world from his own unique point of view - one in which he gets things right.
R0 is simply the number of other people that an infected person infects.
If you do thorough contact tracing you can actually count the number of people infected.
The average value of R0 in a particular environment and social situation is stable enough to be worth knowing, even if the situation is chaotic (which means short-term unpredictable rather than random).
R0 is a theoretical concept with no basis in reality.
I just told you what the real basis is. The theoretical part is taking an average over a bunch of individual infected and infecting people.
No, you're the idiot - I already told you that was included in the infection rate I came up with.
But didn't pay any attention to the fact that when the infection first started is an equally important contributor to the number of people infected right now - probably more important before lockodowns and social distancing start reducing the R0.
You still don't seem to get that, which is one of the many failures of comprehension which make you perhaps the most blatantly idiotic poster here at the moment.
You can't follow that because you are an idiot. The fact that you don't want to helps, but you are stupid enough to think that you can get away it it.
LOL! If you are going to accuse me (or anybody else) of being "stupid" you better well SPELL IT RIGHT!
Typos are always with us.
People of superior intelligence, which you CLAIM to be, DON'T make typos!
If you could read, you could read up on "errors of action" and you'd find that everybody makes them. Intelligent people are more likely to proof-read what they write and catch some of them, but regular people catch about 30% of their errors and even trained proof-reader miss 5%.
I repeat, if you are going to accuse someone of being stupid, you had BETTER spell it right! Otherwise you are admitting that it is YOU that is "STUPD"
I deal in day-to-day realities with the data that is available, for which in your supreme superiority belittle me.
You don't. You take data which you don't understand and draw conclusions that the data doesn't support.
Only in your demented mind. You can't even compute your vaunted R0.
I have done it here from time to time. The ratio of last week's new case number to the number five or six days later can be used to do it. It's not a particularly reliable estimate when new infections from new communities keep on getting added into the published totals.
Telling somebody what the R0 is will get you a blank stare;
From anybody dumb enough to let you lecture them on anything.
Non-response noted.
Lack of appreciation of the insult involved noted. I'll have to be more explicitly contemptuous for you to notice.
Which seems to be your ONLY skill.
To you. You are too stupid to notice skills that you don't have.
Again, your ONLY skill is insulting people. You must lead a lonely life.
telling them that there state has dropped from 2nd to 10th in COVID cases and 3rd to 8th in the infection rate, as has happened for Washington state, will getting an appreciative nod. Your arrogance blinds your ability to comprehend.
Sure. Even the most mindless gets analogies with sports results. The fact that they are perfectly useless doesn't get noticed.
What sports analogies, sport? No, they go right to the heart of the matter. WA is being successful and the data prove it.
https://www.nytimes.com/interactive/2020/us/washington-coronavirus-cases.html#map
None of the data you have posted. The new case per day rate peaked at about 600 per day a couple of days ago, but it's a bit early to claim success.
Your statement simply doesn't make sense (surprise!).
Not to you. No surprise there either.
Nope, senseless is what you wrote, you don't even try to defend it.
Here is my latest data:
Rank State Population Cases Infection Rate Infection Rank Rel to NY
1 New York 19,440,469 102,683 5,282 1 1.0
2 New Jersey 8,936,574 25,590 2,864 2 1.8
6 Louisiana 4,645,184 9,159 1,972 3 2.7
7 Massachusetts 6,976,597 8,966 1,285 4 4.1
4 Michigan 10,045,029 10,791 1,074 5 4.9
13 Connecticut 3,563,077 3,824 1,073 6 4.9
34 District of Columbia 720,687 757 1,050 7 5.0
10 Washington 7,797,095 6,597 846 8 6.2
If you will note, this data is VERY CLOSE to the NYT data. So, you are just CONFIRMING that I am on the right track!
Except that you haven't specified what you mean by infection rate.
The most recent new cases per day data for New York state seem to be around 8000 per day
https://www.nytimes.com/interactive/2020/us/new-york-coronavirus-cases.html
If you don't say what your numbers are they don't mean anything at all.
If you were as smart as you claim (which you aren't) you would have read where I explained it. To repeat for the dull, infection rate is cases per million residents, NOT cases per day.
And try not responding until you've actually computed R0.
I have computed R0 and shown my working. It wasn't a particularly reliable estimate, as I pointed out at the time.
For the US as whole there were 29,874 new cases on the 2nd April and 19,452 on the 28th March, which would be an R0 of 1.5. Less than the the 2.5 to 3 seen if you aren't doing anything to slow the spread, but more than the 0.99 you have to get if you want the epidemic to go away, and lots more than the 0.5 or lower you see if it is going away fast.
You are too full of yourself to see the problem with trying to compute R0 in real-time.
I'm well aware of the problems, which is why I say that approach doesn't give a particularly reliable number. You could probably do better with a weighed sum of the new case numbers for the day five, six, seven, eight, nine and ten days before the latest new case number, reflecting the distribution of the time it takes from infection to the date at which symptoms appear. The weights would have to normalised to add up to one.
It's doable, but you need the data on the distribution of the time from infection to visible symptoms/getting tested which has to be inferred from contact tracing.
You haven't done ANYTHING - just complained about what I did. My numbers don't suffer from these problems, they get right to the point. In fact, in Pres Trump's news conference today, Dr. Deborah Birx identified their problem areas beyond NY, LA and NJ: Conneticut, Michigan, D.C., Colorado. These are all in my top 10 by infection rate.
R0 is an exponent of differences; if the underlying data from which the differences are computed has a lot of noise present the exponent will be pretty much meaningless.
In this case it was a ratio of two numbers - no kind of exponent, which is the number of times you multiply one number by itself.
There's certainly no differencing (subtraction of one number from another) involved.
Growth in cases is a difference.
Integrated and filtered data (which is what I am doing), on the other hand, reduces this noise effect.
Unfortunately garbage in always produces garbage out, not matter what you do with it in the middle (which you haven't specified). Since you don't seem to have a clue about what you are actually doing, your telling us what you think you are doing probably won't help.
The "garbage" you're talking about comes from the CDC - I didn't manufacture it. It is far from perfect because most COVID cases are never confirmed, only the most severe ones. But it is all we have - and all you have to compute (if you ever do) R0. What is truly garbage is the data out of China.