It's Not How Many Followers You Have That Counts, It's How Many Times You Get Retweeted
Over the weekend a lot of tech bloggers got into a tizzy over a suggestion that Twitter search should rank Tweets by authority, with Tweets from people who have the most followers coming up first.
Context & Ripple Effects
This piece lands mid-argument in a debate TechCrunch itself opened two days earlier, when it asked whether Twitter should add authority-based search — ranking tweets by follower count. The backlash was immediate: Loic Le Meur shipped Twitority as an experiment within a day (Twitority Made It.), and bloggers pushed back on the premise that raw follower counts equal authority. The retweet-centric framing here is the counter-proposal in that fight.
First-order effects
- The immediate effect is definitional: influence metrics shift from static follower counts toward per-tweet amplification (retweets), which changes who surfaces first in any authority-ranked search and rewards accounts that produce widely shared content rather than merely large audiences.
Second-order effects
- Third-party tools race to operationalize the metric — Twitority appears almost overnight — and later measurement efforts like Twitter Lists and HBR's finding that followers don't equal influence force marketers to buy reach based on engagement signals instead of audience size, repricing influencer placement.
Third-order effects
- If ranking systems adopt engagement-based authority, search becomes a curated gatekeeper for real-time information — the direction Google's tweet-ranking work later formalized (how Google ranks tweets) — concentrating visibility among high-amplification accounts and structurally disadvantaging newcomers regardless of content quality.
The trend: Social platforms are steadily replacing raw audience size with engagement-weighted signals as the currency of influence, turning attention distribution into an algorithmic ranking problem rather than a popularity count.