The standardized probability variable and its role in the study

We are all heard of the standard probability variable. But many people do not know what this thing means. The "standard variable" means the criteria used for choosing the participants or actors for research. The ability to handle those variables is the thing that gives results to the researcher. 

When the researcher makes research. One of the key elements to getting real information out from research is to know what those "standard probability variables are". The researcher must know the research team's criteria for selecting the sample. That is under research. When researchers are researching things like viruses they must realize one thing. 

HIV infection makes all organisms dangerous for those patients. Same way. That is one version of the co-effect that boosts the effect of the primary variable. 

In COVID-19 statistics the primary variable is COVID-19. But co-variables ("booster variables") are HIV infection or weak immune defense. 

 If the patient uses an immune depressant. That makes all viruses dangerous for those people. Those medicals are causing chemical AIDS. And they are used with organ transplants to deny immune reactions. 

There are many ways to report deaths about COVID-19.

*Researcher can report all victims. That is dead during the pandemia and use the COVID-19 antigens as criteria. 

*In that case, we can say that if a person has a COVID-19 infection. And get under the car is dead because of COVID-19, which is not true. But if the criteria are only COVID-19 antigens the statistic shows that the person died because of COVID-19. 

*Researchers can report only cases that are dead because of COVID-19 infection. But in that case, we must check things like HIV infection.

*Researchers can also involve things like hospice or cancer therapy or the use of narcotics in those research. Or researchers can bypass those things, and that thing can affect results. 

How to select a sample is a problematic question. When we are thinking about the changes in the brain structure of COVID-19 patients, we must notice some other variables in the research. Those variables are lifestyles, use of alcohol, and use of narcotics. 

And many other things that can affect the metabolism and especially neuron metabolism. Those things are playing a key role in the co-effect of virus infections. 

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The advanced measurement methods are causing grey hair to the scientists

The advanced measurement methods are causing grey hair to the scientists

In the world of science is forgotten one of the most interesting things, what we face always in real life. That thing is artificial intelligence, which can be used for handling multiple points in the calculations and observations. The thing is that artificial intelligence can handle billions of variables, and that thing causes conflicts with classical formulas in many areas.

Many of the classic formulas of classic mechanics like Kepler's point have been calculated by using two or three points, and modern computer technology can notice billions of points, and it can also mean that the smallest effective forces can be noticed. This thing means that we must confess, that even the farthest objects affect the particles, which are moving in some trajectories. We cannot meter that effect while the stress to the particle takes about two weeks or even months.

But when the effect continues even thousands of years they can cause the effect, what has mean. And when we are thinking about things like spaceflights, we must remember, that there are many other forces than just gravity, what effects to the trajectory. One thing is the solar wind, which will warm the spacecraft. That thing causes that the small particles are flying away from the craft, and the recoil force would turn it away from the course. That thing affects if the craft is flying tens of years.

Every particle affects other particles in the Universe

Also, the RTG generators, what is used in the space probes would cause that the radioactive particles will push the craft to the trajectory, which is not predicted. That thing can cause minimum errors in the trajectory, what can be measured. In the universe, every particle is in interaction with other particles and that thing causes errors in the calculations. Those errors have no mean in normal life.

But they can be measured. And when we are thinking about the minimum errors in the trajectory of particles like comets, that kind of thing can cause the false alarms of the new planets. The thing is that if the frozen nitrogen is in some part of the asteroid, and there would be the pocket of helium, the radiation can cause the jettison, which would turn the movement of the particle.

The thing is that the old-time scientists were not wrong. That means that the advanced measurement methods have caused the calculations to have turned sharper. The modern supercomputers can also use float decimal numbers, which contains even millions of numbers. That causes the systems to have more accuracy than any scientists in the world.

No human can handle numbers where are thousands of decimals. Or they cannot handle the gravity force of thousands of background stars, what is affecting the particles in every solar system. And that thing is causing the revolution in the world of science.  Computers can connect also the extreme weak variables to the calculations, and that makes them the ultimate tool for research and scientific work.