Thought it might be a worthwhile endeavor to collect some raw data and see if we can generate a formula that loosely models the correlation between backlinks and SERP position. For simplicity each variable will represent the average, estimated monthly value. Y = Current SERP Position A = Total # of backlinks directly to your money site B = % of "high" value backlinks (ie. 10% means that 10% of your backlinks are PR4+) B2 = Average age of backlinks in months C = Age of your domain in months D = % of usable, quality content (ie. 75% means that 75% of your content would pass human review) There are hundreds (potentially thousands when compounded) of variables, but let's keep this as a simple thought experiment and solve for Y using the above 5 mentioned variables. In addition you can post optional qualitative or quantitative data to help explain your data. Please provide: Y = A = B = B2 = C = D = Optional: Niche = Optional: Monetization Method = Optional: ? My primary objective is to model a formula to avoid sandboxing. Depending on the quality of the data used and robustness of the chosen fields we can perhaps calculate other interesting things.