All government funded scientists, whether through salary, contract, or grant, have a conflict of interest when it comes to providing science to support government policies. The strong bias is toward supporting those policies and avoiding any challenge to those policies.
The vaccine as a population placebo has to have a similar reaction on a population. The population-placebo vaccine has to have adverse effects normally associated with vaccines. There needs to be people who will suffer from reactions, and even some some people die from the vaccine. This would prove to the public that this is real, and if it is real, it might be effective. The placebo effect is on the entire population in order calm it back to something closer to normal.
The data exposes a flaw in our medical systems being unrealistically pessimistic about health risks, and about natural immunity capabilities. Our medical systems are overreacting out of a systemic hysteria of the entire discipline that increasingly believes that each day is the first day of the end of the world. In the particular disciplines of virology and epidemiology, the data raises serious doubts about whether these sciences are correct and mature enough to drive public policy. The evidence of this years experience points to these disciplines not being deserving of belonging to science.
There is a risk to mandating a single option for everyone. If that option would eventual start to show serious problems later on, everyone would face the risk of experiencing similar problems. Having a multitude of options available for different groups, and pursuing all of these could have a better overall outcome than focusing on the current objective of vaccinating everyone with a very new technology.
Though this processing of big data, the algorithm will make discoveries about the world that it is incapable of disclosing to humans. Instead it will act on these discoveries in an attempt to optimize some objective. There is a much more profound benefit of this arrangement: if the humans were to become aware of the discovery, they may be incapable of handling it. Humans will panic at the implications.
When considering whether to admit dark data to the data stores available to our algorithm, we can ask what would be different if we did not know this information, even if there is good reason to believe it to be true.
Value may also be extracted from zero value men even if they are not individually detected. Using analysis of large datasets, we can estimate the prevalence of near-zero value men within certain populations. Using this data, we can predict what that segment of population in response to some action. For example, we have confidence that this man will unlikely rebel against some injustice because doing so will expose himself and likely his talents. Knowing the prevalence of near-zero value men allows governments to estimate the difficulties of implementing tyrannical actions.
Given what we now know about this virus, our ancestral trust in God would have served us must better than our actual course of action that instead trusted humans acting beyond the boundary they should not have crossed.
The alternative to the current demands for reforming the police is to reform the justice system by redefining the purpose of laws to condition the population instead of requiring perpetual enforcement. To the extent the court system is still needed, it needs to operate more swiftly ended with a complete resolution in a very short time.
The social status type system could offer a way to greatly reduce the need for police force to apprehend a suspected criminal. All that would be necessary would be to change that person’s credit score so that he will no longer be able to use most of public or social resources. That change is status is sufficient for that individual to eventually seek out a remedy that will allow the government to deal with him appropriately. No police force required.