When I was working, I used big data to combine with other big data to combine... until we had enough data points to tell a story with the statistics we were using. For instance: I worked on a project that followed several dating sites and determined their "success" rate. Meaning how many first dates turned into marriages. The data were all out there.
What does this have to do with COVID-1984?
Statistics. And the numbers are FUBAR. Completely F---d Up Beyond All Recognition. They have been mucking with every data point in the whole set, to the point it's impossible to separate truth from fiction.
Numbers of new cases: You would think this would be a simple thing to figure out. A patient tests positive, and the bell rings for a new case. But wait! Was the test a blood test, which tests for antibodies, in which case it says the patient HAD the Dread Wuhan flu. If they had the plague, were they already counted? Or was the test a nasal swab, indicating the patient has been EXPOSED to the Chinese Plague, not necessarily CONTRACTED the Wuhan Virus. It has been shown the CDC NHS and labs are counting any positive test as a new case. Because of this, we have no idea what the infection rate is, nor do we know how many people have the disease. This is by design. Inflate the numbers. Frighten the people. Scared people make poor decisions. We even had several major testing labs that reported 100% positive results for infection. How many of those were false positives?
Numbers of deaths: Another simple number to tabulate. A patient dies of COVID and DING! the bell rings for another death of the plague (and an angel gets its wings). But this number is also corrupted. Anyone dying of anything that tests positive for the China Flu, is counted as dying of the China flu. Never mind the circumstances of their deaths. This inflates the death rate. BUT WAIT! This statistic has a quick sanity check. If so many more people are dying from this virus, we should see an increase in the overall death rate. All things being equal, people die all the time of old age, heart attacks, cancer, car wrecks, industrial accidents, bar bets, and just plain stupidity. Add COVID into the mix and a number that has been tabulated and calculated enumerable times by actuaries for insurance purposes, should see a marked difference. THERE IS NONE.
WHAT?!?! COVID is not killing extra people? How can this be? Someone is lying. The statistics are off. There is your proof.
Lets look at survival rates. The survival rate is a ratio of the number of people who survive the virus over the number of people who get the disease, multiplied by 100. That is a number that is not reported much at all. Because the inflated infection numbers and death counts, the survival rate looks FAR better than it really is. Add in all the asymptomatic cases and nobody knows what the survival rate really is. Nobody. How can they? The asymptomatic cases are not tested, not counted, not recognized, which further skews the statistics.
OK.
OK.
OK.
With big data, there is always a sanity check. Sometimes you have to look around for it, but it is always there. ALWAYS.
Sanity Check: Statistically, Are these new cases overwhelming the hospitals? We know a certain percentage of people who get sick with the Wuhan Plague, end up in the hospital. You would expect at some point, the hospitals would run out of beds. Let's check. How do hospitals make their money? You would think hospitals make money by providing service, and that is only partly true. They make most of their money by making agreements with insurance companies, called capitation agreements. Meaning the hospital gets paid per head that is subscribed to the insurance company and reserving some beds to cover their agreement. Regardless whether they are admitted or not. Meaning they make more money from some insurance companies by NOT providing service. SCOFF and they call me Crazy. I know it's messed up.
Looking at the profits of the hospitals (available in any prospectus of publicly traded companies) they are up. Looking at the HMO and PPO providers' profits: they are up in record numbers. WAIT! Insurance companies make money by collecting insurance payments. They lose money by paying that money out for services. If people were getting so sick, shouldn't we see a DOWN trend in their profits? I so got into the wrong business. I only got paid if I WORKED!
Remember the sanity check? Actuarial tables are calculated out to 6 digits of accuracy and in some cases 8 digits. Insurance companies are in business to stuff their pockets with your cash, and the actuarial tables are in place so they can do just that. A fluxuation in the statistics of 0.00001% would cause a shift in the pricing structure of premiums and underwriting practices. There has been no such fundamental shift.
And that, class is why the Crazy Uncle calls Bull Huey on the whole thing. and why I have no idea what so ever how things are going in the Democrat Republic of Oregon.
Bull Huey is the stuff that comes out of the South end of a North-bound bull.
Last edited by Crazy Uncle; 11-19-2020 at 06:42 PM.
July 4, 1776 - November 4, 2020
———————RIP USA——————
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