Prediction of Human Behavior (Macro vs. Micro)

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As I was looking at google search console data and thinking a little bit about what I was seeing it brought up a question. Is there any difference between macro and micro level statistics. Such that when Google predicts that a given number of people will search for something does its accuracy improves as the sample size increases.

Google is also able to track people on a micro level being that a given person will search for a given term based on previous search behaviors. What is interesting is the feedback loop we witness between society and the computation of predictability of behaviors of a given person or society as a whole. Guess this is very obvious as it’s the main goal of data analysis and even statistics is to match patterns to future outcomes.

Why does it work so well when on a macro scale and not as well on a micro-scale? That predictability goes up as the sample size this being internet searches increases. This is very much a philosophical question on the nature of modeling any given point of data. Does this also work when looking at a Quantum Mechanical scale? Being that knowing where a given particle or wave is much harder than knowing where an elephant is? 

What does this say also about control systems such as the feedback loops created by content produced online? Knowing a person in a place might behave as predicted accuracy increase with sample size? Then knowing how society will behave given input is also possible quantifiable?

Does this give a competitive advantage to the point of total control over society and individual members? The same or even greater advantage is given to Facebook as well? It also shows the existence of a cybernetic feedback loop between people and the internet.  

What are your thoughts about this? Comment below like, my channel and be sure to buy something… 🙂

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