- Joined
- Mar 7, 2018
- Messages
- 68,960
- Reaction score
- 22,530
- Location
- Lower Mainland of BC
- Gender
- Male
- Political Leaning
- Centrist
GENERAL NOTES
If you have any dispute/discussion regarding the statistics, please feel free to link back to the latest post in the NEW THREAD that you start so that we can debate what your dispute/discussion is.
DATA SOURCE - COVID-19 Coronavirus Pandemic (at aprox. 1400 GMT the day of posting) except where noted.
NOTE 1 –If you have any dispute/discussion regarding the statistics, please feel free to link back to the latest post in the NEW THREAD that you start so that we can debate what your dispute/discussion is.
DATA SOURCE - COVID-19 Coronavirus Pandemic (at aprox. 1400 GMT the day of posting) except where noted.
“Mortality Rate (All)” appears to bear a one to one correlation to “[Mortality Rate (Closed)] x [Clearance Rate]”. That means that it is likely that the _real_ mortality rate is the “Mortality Rate (Closed)” and only the differing lengths of time from diagnosis to death is obscuring that.
Chinese figures are not accepted as reliable at this time. However they do not appear to be outside the parameters of countries with equivalent “Asian” population percentages.
US figures are not accepted as reliable at this time. However they do not appear to be outside the parameters of countries with equivalent “Racial” population percentages.
- All charts employ a 30 day forward projection. (Thanks to “Jay59” for the upgrading suggestion.)
- Further suggestions to improve the accuracy of the PROJECTIONS are welcomed. “I don’t like the data or what generally accepted mathematical formulae say about the data – so you are full of crap.” comments will be ignored.
- Reported deaths normally take dips on weekends (which means the Sunday and Monday numbers are lower than the actual numbers of deaths and the Tuesday and Wednesday numbers are higher),
- Reported deaths normally take dips around “emotionally significant dates” (sometimes known as “The ‘Christmas’ Effect” or “The ‘Birthday’ Effect”).
- The trend lines are based on actual current and past data and are footed on the assumption that the conditions current as of the generation of the chart do not change.
- IF those conditions do change THEN the trend lines WILL change. This, unlike what some dolt will tell you, does NOT mean that the trend lines were wrong when calculated.
- Simply pulling numbers out of your butt or cherry-picking data, the way that some dolts do, and then using those PIOOYA numbers to claim expertise just doesn’t hack it in the real world (well, outside of Mar-a-Lago, Florida).
- There are a whole lot of posts comparing "State X" against "States A, B, and C" without any acknowledgement that there are actually 50 states. (This is known as "cherry picking data" and I don’t do that.)
- The states have been ranked as to how far they vary from “The American Neutral” [which would be exactly 50% “Republican” (whatever that means) and 50% “Democrat” (whatever that means)] using the actual vote totals from the last Presidential, Senatorial, (Federal) Representative, and Gubernatorial elections plus the actual seat counts in the several states upper and lower chambers. The color coding indicates the relative position of the grouping to which each state belongs.
- Since blue is the traditional colour for “Conservative” and since all of the major American political parties rank as “Conservative” on the international scale, only various shades of blue are used.
- The totals are lower than the totals on Worldometer because US colonial possessions are excluded and only the actual US states are considered.
How does the number of tests related to the "Mortality Rate"? It doesn't, and I'm no longer going to be posting that table routinely.
How does the NATIONAL “Population Density” relate to either the “Infection Rate” or the "Mortality Rate"? It doesn't, (with respect to specified areas inside countries it does, but I simply don’t have the facilities to deal with THAT much nitpicking) and I'm no longer going to be posting that table routinely.