Infographic: Facebook EdgeRank and Why You Should Know About It

⚡ Speed Run Notes

• EdgeRank was the first algorithmic feed visible enough to argue with. Before EdgeRank, feeds were chronological. After it, marketers spent a decade trying to reverse-engineer the weights. The debate itself trained a generation of creators to think algorithmically.
• Every algorithmic feed trades chronology for engagement, and engagement is a CD7 (Unpredictability) machine. You never know what you'll see next. That uncertainty is what makes the feed addictive — and what makes it hostile to any content creator who can't surf the randomness.
• The EdgeRank era taught marketers the wrong lesson: that the algorithm is the enemy. The actual lesson is that the algorithm is a filter, and good content reaches people anyway. The creators who complained about reach were usually making content the filter was correctly suppressing.
• Platform algorithms evolve; behavioral design principles don't. EdgeRank is long gone. But the underlying principles — reward recency, reward engagement, reward affinity — are permanent features of any feed system. Marketers who learned the principles still work; ones who memorized the formula had to start over.
• The deepest takeaway: any time a platform makes its algorithm visible, it is a gift. Visible systems can be designed for. Invisible systems leave you guessing. EdgeRank was rare because it was at least partially documented. Modern algorithms are worse in that regard, not better.