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To what extent do you agree with the claim “all models are wrong, but some…

- - - - a prediction for future events
      - a set of rules in conducting a process
  - - - Does the sheer amount of knowledge prevent accurate models because simplifications are needed in order to account for limited human cognitive ability?
        
        Should models account for the quantity of knowledge over its quality? (usability and efficiency)
      - Can models become obsolete over time?
        
        Could obsolete models still be relevant when used in another context or perspective?
  - - - Can models aid in acquisition of knowledge even though it displays limited or flawed knowledge?
    - - Does interpretation of models vary depending on cultural context, affecting its usability?
        
        Should models be applicable in every context in order for it to be correct?
        
        Is a model's expertise in a specific field as opposed to in a related field sufficient enough to be useful?
- - - - Does a model need to be "wrong" for it to be more useful?
        
        Do generalizations, which can limit the scope of the knowledge displayed, make knowledge easier to understand and apply?