By Professor Gilbert Morris
Covid 19’ patterning follows the Bubonic Plague of 1347. Therefore, I reject the notion that Covid 19 will “Peter out”.
If the vaccinated can still be infected and transmit, mutations are likely and petering out is a hope rather than a scientific extrapolation.
This means several things:
1. These vaccines ought never to be compared to previous vaccines - like Polio for instance - those vaccines ended infection and transmission.
And continued infection and transmission is the anomalous problem of the Covid 19 vaccine regime.
2. What is missing that is obvious from the facts, is if the vaccinated can become infected and transmit, logically, there will never be “herd immunity”.
The benefits of being vaccinated are two:
1. It makes it less likely that a vaccinated person will be sick (within a statistically dense frame)
2. Therefore, hospitalisation is less likely; as the data shows, only a statically significant, but generally insignificant number of an aggregate of vaccinated persons are hospitalised post-vaccinated infections.
It is a lively nonsense, oft repeated, that unvaccinated persons pose a threat…because both vaccinated and unvaccinated persons pose the same threat if both can be infected and transmit; without further evidence of any distinctions in the relative infection patterns.
What is clear is that vaccination is only one tool and it’s foolhardy to assert that with vaccinations, economies can “return to normal”: again it’s perfidious nonsense since infections and spread are still possible.
The solution is the method which the 7 best performing countries deployed - all of which propose but none of which mandates vaccination:
1. The 7 best performing nations in the pandemic succeed by mass, spot and randomised testing.
1. To gain epistemological coverage of their entire countries: Multimodal testing (eDiagnostics, Bluetooth Thermometers, eTesting and home testing generate DATA!
2. That data then characterises general and interstitial demographics; discrete insular dynamic demographics within a general demographic pool.
3. That produces granular DATA!
1. Bluetooth contact tracing links the patterns and the multimodal tests, discovering alignments and positing options for coordination
2. This produces a national digital “fever map”!
The 7 best performing nations in the pandemic all erected this mechanism, which I lectured about in the SpaceNex Global ROUNDTABLE Lectures on “The History of Economic Consequences of Pandemics”.
1. Once the ‘fever maps’ are functional, the data produces deep patterns that are at first descriptive; then the data becomes diagnosticative; then the link between data-patterns and policy outcomes error-corrects toward self-evidence…and becomes prognosticative.
This equilibrium is called generally a “proportionality constant”.
2. At this stage, you can see the effects of social protocols (mask wearing, hand sanitation, social fumigation) immediately.
This multimodal platform is necessary because vaccination and even walk-in testing are arithmetical, but the disease - particularly accounting for superspreaders - is infecting exponentially.
So its actually counterproductive to depend on vaccinations or walk-in tests alone. One needs dynamic readable datasets. If a country hasn’t done this and merely harps on vaccinations, it will fail!