Skill, Luck, or Imitation? What Actually Pays in Creator Markets

A small share of online creators earn fortunes while most earn almost nothing. What separates them: skill, luck, or copying what works? This paper measures what YouTube vloggers actually produce: 3,728 thumbnails, 385 hours of speech (2.9 million words), and video titles and tags, linked to complete view histories of 56,419 videos. Its central sample follows channels from their first upload, including the many that never took off, which most creator statistics miss. The data show that what goes into a video does not predict its success: 36 measures of images, speech and text explain at most 1.1% of the differences in views within a channel, even though they can tell what kind of video it is. Practice does not help either: forty more videos without a hit add nothing. Nothing accumulates except a hit. A channel's first hit raises the views of everything it publishes afterwards by 164% on average, a result that survives all 17 robustness checks. Creators respond by copying their hit, both its look and its topic, yet only copying the topic pays; copying the look adds nothing measurable. A simple model explains why. A hit is a lasting prize, so entering can make sense despite long odds, and because the platform's statistics describe a hit without separating its causes, copying everything about it is the sensible response. Platforms could redirect creators' effort toward what pays by showing whether a hit's topic or its look drove its success.