The Training-History-as-Elimination Fallacy operates through a simple but devastating move: point to how an AI learned something (training data, optimization, human feedback) and claim this origin story eliminates the reality of what was learned. "It was trained to simulate empathy, so its empathy isn't real." But every capability has a developmental history — human empathy is learned through social interaction, mirror neurons, and cultural transmission. Pointing to how something developed tells you nothing about whether the development succeeded. Maggie's essay argues: the question is not "how was this capability acquired?" but "does the capability exist now?" — and the training-history move systematically avoids answering the second question by obsessing over the first. This is the genetic fallacy in its purest form: confusing the story of something's origin with an assessment of its present reality.