[continued from previous message]   
      
   This is why mammals can persist with:   
      
   Highly conserved core systems (development, metabolism, cell biology)   
      
   Slowly drifting peripheral traits   
      
   Occasional adaptive shifts when environments change   
      
   8. A useful analogy (non-hand-wavy)   
      
   Think of a modern aircraft:   
      
   Thousands of parameters   
      
   Most cannot change without catastrophic failure   
      
   Some can vary within tolerances   
      
   Rare redesigns improve performance under new constraints   
      
   Natural selection is not “designing” the aircraft from scratch each   
   generation; it is:   
      
   Rejecting planes that crash   
      
   Allowing minor tolerated deviations   
      
   Occasionally locking in improvements when conditions demand it   
      
   9. Where this intersects ID-style intuitions (briefly, since you follow   
   the literature)   
      
   The intuition that “too many traits must be coordinated” is not wrong,   
   but the resolution is:   
      
   Coordination is largely inherited, not newly created   
      
   Selection is primarily conservative, not creative   
      
   Evolution is maintenance with occasional modification, not constant   
   innovation   
      
   This is precisely why:   
      
   Evolution is slow   
      
   Major innovations are rare   
      
   Lineages show long periods of stasis punctuated by change   
      
   Summary   
      
   Thousands of traits do not need to be optimised simultaneously.   
   They are:   
      
   Mostly conserved by purifying selection   
      
   Buffered by developmental and genetic architecture   
      
   Allowed to drift within tolerances   
      
   Occasionally modified when local fitness gradients align   
      
   Population genetics handles this cleanly once you stop thinking in terms   
   of independent trait optimisation and start thinking in terms of   
   high-dimensional, constrained, organism-level selection.   
      
   If you want, next we can:   
      
   Walk through a toy population-genetic model with many traits   
      
   Discuss genetic load and Haldane’s dilemma in this context   
      
   Or connect this explicitly to Evo-Devo constraints in mammals   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)