While re-evaluating the ranking scheme for Pinoy Top Blogs, I realized that some prevalent factors on blog traffic statistics are not a guaranteed measure to determine who should be on top and who’s not.
Two of the better metrics used here are the Unique Hits and the Total Hits. Unique Hits refer to an inbound traffic of a unique IP (supplemented by cookie tracking) to a specific blog. Total Hits refer to the cummulative number of page requests for the entire blog.
Many would argue that Total Hits can be easily rigged as the individual or group may be the only ones contributing to the traffic artificially. This is usually done by regular refresh of the pages or using a time-bound feature of certain browsers to automate the page reloads. However, using a cookie that only expires after 24 hours can prevent this from happening (unless of course they manually delete the cookie every page load or completely blocked by the browser altogether).
Using Unique Hits holds much promise in the sense that it only counts the unique IPs in the traffic. However, this method can inadvertently exclude a lot of legitimate stats like corporate/university networks which only uses one single public IP. Likewise, those with dynamic IPs gain an edge in contributing to the stats, an issue raised here. On the same thought, unique hits coming from search engines are one time visitors and does not necessarily (or significantly) contribute to the overall standing of a blog in the rankings.
A lot of toher questions have been raised as well. “Does a blog with 10 visitors contributing 100 pageviews (10 repeat visits) a more popular blog than a blog with 100 visitors contributing 100 pageviews (no repeat visits)?
With these considerations in mind, I am tempted to formulate a hybrid computation to equalize traffic stats. As to how the formula would look like, I still have to figure it out.


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