Your model is too simple. Consider these facts: Consider this graph:
      
      
|      .
|    . 	   .   	
|   .  	      .	
|  .  	       .      
|    	         .    
|      	       	   .      
| .    	       	      .      
|  		          .     
|. 		       	       .                  
|__________________________________.___.____._____
                                    	     
 Fig 1. Popularity curve of a single post

                    (b)
 |  		   .  .			     
 |      	         .     	 .     	       	     
v|    (a)      .	       	    .
o|      .    .  	              .	  
t|    . 	   .   	     	       .   
e|   .  	  .   .	       	(c)   	 .     
s|  .  	 .     .       	  .    	    .  
 |    	         .      .    . 	        .      	
 |      	       	   .           .       	     .	
 | .    	.      	      .        	   .	           .
 |   		          .            .       	       .
 |.     .	     . 	       .           .           
 |__________________________________.___________._______
   	     t   i   m   e   -->     	    

  Fig 2. Overlapping curves for a moderately popular post 
(a), a very popular post (b), and a minorly popular post 
(c). 

OK, so the ascii art kinda lost something in translation. Hopefully this gives you some idea of the mathematics of what you're up against. Note also that we were talking about "rates" and "accumulation", which suggest derivatives and integrals, respectively (but mostly integrals). You seem to be considering only the range at the end of all these curves, where the votes/day is close to zero, and it may be possible to do a linear approximation here. However, unless you are truly lazy (which maybe you are!) you will probably continue to make new posts at some frequency which should also be considered, so you would have to have at least a rough model of these exponential curves.

In reply to Re: Tipping the Balance by beth
in thread Tipping the Balance by BigLug

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