Anil Dash follows up his great post on Twitter’s suggested user list with an equally great piece that politely challenges Twitter follower counts. As he notes, analytics and inflated self-importance are nothing new:
It’s a bit like when I worked at a newspaper: Every reporter thought “Well, our circulation is a million copies, that must mean a million people read my column.” Facing the reality that only 10,000 of those people read the column, or that perhaps only 1,000 of them were reading the advertisement on the opposite page, forced a useful and important reckoning into some false assumptions that were underpinning that industry’s workings.
The key here — and Dash mentions this in his post — is to dispel overblown notions so analytics become useful. Follower counts have value, just as page views, uniques, user-session times, circulation figures and subscription numbers do. But all those numbers have to be filtered through the realities of passivity and engagement.