EEG

What Happens When EEG Models Recognize Faces They've Already Seen

EEG models that see familiar faces during both training and testing show suspiciously strong performance, and a recent study measuring that effect reveals just how much "participant-aware evaluation" inflates results. Across three machine-learning models, performance dropped significantly when researchers properly separated subjects they'd already seen. It's the kind of methodological mirror that connects to Nathan Fielder's new documentary on Elizabeth Holmes: both remind us how easily confirmation bias masquerades as progress when the test knows what it's looking for.