What are the key decisions that shape our lives and how can we analyze them?

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SUMMARY

This discussion centers on the analysis of life decisions through the lens of decision trees, emphasizing the complexity of choices from birth to death. Participants explore the potential for principal component analysis to identify significant decisions, contrasting major life events like education and marriage with seemingly trivial actions. The conversation also touches on the distinction between controllable and uncontrollable factors in decision-making. Additionally, references to root cause analysis and Ishikawa diagrams suggest methodologies for understanding the impact of decisions.

PREREQUISITES
  • Understanding of decision tree analysis
  • Familiarity with principal component analysis (PCA)
  • Knowledge of root cause analysis techniques
  • Basic concepts of finite density in physics
NEXT STEPS
  • Research principal component analysis applications in decision-making
  • Explore root cause analysis methodologies in quality engineering
  • Investigate the implications of finite density in decision theory
  • Examine automated simulations of decision-making processes, such as computerized game theory
USEFUL FOR

This discussion is beneficial for data analysts, psychologists studying decision-making, quality engineers, and anyone interested in the intersection of quantitative analysis and qualitative life choices.

kronon
Say you map out the entire decision tree of an individuals life starting from birth.

Each node has N branches, where N is very large, and delta t approaching zero. Let's keep it finite density because we want some results.

Now you trace out the individuals realized path outcome amongst this vast set of possibilities. From the beginning to the The End.

I want to be able to sort the wheat from the chaff: some kind of principal component analysis to see what the key decisions are - are they 'big' things like education, who you marry etc, or tiny stuff like I poured an extra spoonful of bran flakes, which made me 1 sec late, which meant the bus missed me by a whisker?. How would you get an answer?

Also, how do you separate out the things you can control with things you cant. Which is more important?

What happens if/because delta t is less then the Planck length?

Have you seen any attempts to model such things?
 
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Does t mean time? If so, it seems odd that you are mixing such quantitative terms in with an entirely qualitative question like the "importance" of particular decisions.

You might look into root cause analysis in quality engineering and Ishikawa "fishbone" diagrams.

On a similar but entirely quantitative level, I've always thought that it might be an interesting thing to analyze the set of all the possible branching games of Monopoly you might play, to see what the characteristics are of a game play that lasts forever, which is theoretically possible. I suppose it would be easy to do nowadays if you automated a computerized Monopoly game.
 
There is some strange physics emerging. What causal connection does 'finite density' have to a 'decision tree of life'?
 
The tree of life might be impossibly large,
1) Why didn't you step a half inch further or less (every single step over lifetime)
2) Why did you breath in that direction (every breath and continuous over
a whole breath)
3) Why move any limb or body member in any direction precisely by the amount you did, summed over
all limb, finger, eye movements and continuous (not just end result)
4) I am not sure if it applies to the thoughts and dreams you had (free will to think
what you like when you like)
 

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