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.
Information technology is separating us individually by demoting our ability to find each other in searches. Now, AI is replacing my voice. It is expressing my ideas, but if there is an audience that audience will have no connection to my person. At least with my written word, there is a personal connection of these letters coming from keystrokes from my fingers. Changing the content to AI podcaster eliminates that connection.
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.
The real risk of the current universal imposition of restrictions and mandates for a medical issue is that will draw widespread attention to the current state of the medical practice itself. People will learn more about the downsides and the misdirected priorities of benefiting the elderly at the expense of the younger generations. At some point, they may decide that this is not a system they want to continue to support. The bubble will burst.
This immediate dismissal of even the potential of corruption in government indicates that we are no longer in a democracy. In particular, we reject the legitimacy of any objection from our fellow citizens. We presume that all objections have some corrupt political motive. Every objection gets attached to some political identity instead of being evaluated on its own merits. This reduces the population to mere spectators to the government, sitting on opposite sides of an allegorical stadium shouting at each other while the game proceeds on the field. Like those fans, we have no actual influence on the plays or the execution of the plays, but we will cheer if one side advances, or boo if the other side advances.
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.