Fanilo RABENJAMINA
-3
3
Fanilo RABENJAMINA has not written any posts yet.
Fanilo RABENJAMINA has not written any posts yet.
For me it may appears too that apparent agents become apparent machines if the observer has strong prediction power.
As an adult I remember my mind states as a teenager during an aha moment on simple euclidian geometry poofs. The recall efforts, the checks, the sight, the comparisons, the size of the A4 sheet where the figures had to fit in with a margin for the written demo, the colors of my pens and the choices of coloring some figures or use a pencil instead etc.
Well, strong prediction power includes stonger understanding of causes and outcomes, I mean the birth, life and death of the event is well connnected to well defined internal... (read more)
"statistical unbiased" is important for a data project but is neglected by everyday's intuition because you will never meet the full dataset, the thousands of persons or the red/white solution balls.
Intuition, or "System 1" in the article, is the most important for viablility and for survival. It really feels like System 1 has all the working memory it wants and system 2 has the burden of proof.
The inevitable bias is that the understanding process of System 2 seems to always end in System 1, System 2 has to cast knowledge into System 1's sensibility, improving intuition or failing to scale it up.
So how can we cast probabilities into System 1's decision making
"25%" of mankind are shy.
"75%" of librarians are shy.
"1%" of salesmen are shy.
The most valued finding (environment's milestone) is the shy salesman. The average valued finding is the shy librarian or corrolary bookworm. We already know shy persons in our surrondings. We are searching objets that map the territory. The bias is about reading the map, not seeing its heterogeneity or multiple authors.