Does the Gap Score
predict anything?
We track four measurable outcomes after every high-gap story: stock movement, prediction market movement, legacy media catch-up time, and public search interest. This page shows the correlation between our signal and those outcomes — live, with case-level drill-down.
We're early. Sample sizes are small. Read the methodology and draw your own conclusions.
Recent predictions
If this gap is real, design-adjacent stocks (ADBE, WIX, FIG) will show unusual movement within 72h of detection — an advanced AI model release signals competitive pressure on existing creative tools.
Gap closure rate
Did legacy media eventually cover the story?Individual story outcomes
0 of 5 gaps closedShowing 5 stories · sorted by gap score · misses included
What we don't claim
A high Gap Score means social media discussed something before mainstream media covered it. It does not mean GapWatch caused the story to break, or that the social discussion was accurate.
High-gap stories sometimes go nowhere. The denominators in every stat include stories where the predicted outcome didn't materialise. We show the full count.
Stats with N < 20 have warning badges. They are directional signals, not statistically significant findings. The sample grows nightly as more stories cross their measurement window.
Gap Score = ratio of social discussion to legacy media coverage at detection time. Outcomes = what happened in the 7–30 days after. The relationship is empirical, not theoretical.
How are gap scores computed? Read the methodology →
Outcomes updated nightly · 2:00 AM UTC · last run Apr 17, 2026