[continued from previous message]   
      
   distribution. The data I could find suggested some lethal (-1), some   
   deleterious (-1 < x < near-neutral), many neutral or near-neutral (zero   
   or just under), and a small number beneficial (just above zero). Using   
   this, determine if the population grows or goes extinct through genetic   
   load. However, I found it difficult to find definitive data, and so   
   instead flipped the approach to reverse-engineer a "break-even"   
   selection coefficient distribution.   
      
   One question that presents itself is how to model overall relative   
   fitness of an individual carrying multiple mutations. The simple   
   solution is to just add them together. Of course, in nature complex and   
   dynamic non-linear effects apply, which are beyond a simple simulation.   
   However, it seems to me that a well-constructed simulation could give a   
   reasonably indicative picture.   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)