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To what extent do you agree with the claim "all models are wrong but…

- - - - Inconsistent
      - Does it only work to a certain extent?
        
        There exist a limit to the model?
        
        So far, every model has a limit
        
        Is there a model that is right?
        
        Can a model be non-contestable?
        
        What it means to non-contestable?
        
        2 more items...
        
        Does this mean the model is enough to cover every possible relevant issues?
      - Irrelevant
      - Unable to serve its purpose
        
        Can't make an accurate prediction for problems ahead
    - - Simplification?
        
        Does this constitute limits to the model?
        
        Maybe because this process removes "irrelevant" features of a model?
        (relating to the meaning of simplification)
        
        Can it be that features that are removed may be "irrelevant" at the moment, but are actually relevant on a bigger picture?
        
        Which causes it to be
        
        Not consistent to every problems
    - - Provides the needed result at the moment, but not complete enough for other problem
        
        What is the extent where the reliability of the model allows it to be useful, even if it's incorrect for future or wider problems, and/or just an approximation?
        
        RLE
        
        Natural Science - Classical Physics vs. Modern Physics
        
        Classical Physics, eg. thermodynamics, mechanics and electromagnetism, cover the basics that can only help with everyday problems and provide an acceptably accurate approximation for common problems.
        Modern Physics, eg. quantum physics, atomic and nuclear physics, cover the problems to the extent of not commonly found everyday, such as the effect on atoms and tiny particles. These unique situations are usually seen and calculated differently than common trivial problems. Can cover every problems relevant nowadays .
        
        If we assume modern physics to be "right"...
        
        1 more item...
  - - - Nature of a model
        
        Does this make it certain that a model can never be right since it is simplified in nature?
    - - There exist a pattern in a particular situation
        
        Knowledge experts make a guideline that highlights this pattern to allow further understanding or prediction
        
        Does this mean a wrong model is a pattern that is wrongly looked at?
        
        As there are many interpretations possible for a pattern to be understood
  - - - The model provides a reliable outcome
        
        How reliable?
        
        Enough for the problem at the moment
- - - - To allow future prediction to be accurate and reliable
        
        If it is to be unattainable, does it worth chasing?