In light of evolutionary psychology, talent is a combination of domain-specific neural adaptations and illusions. We know from data mining and machine learning

In light of evolutionary psychology, talent is a combination of domain-specific neural adaptations and illusions. We know from data mining and machine learning that more data equals better results. Since one example of machine learning is neural networks (i.e. you), we know that more data (i.e. practice) leads to improved performance. For example, we know that the brain implements certain cognitive adaptations multiple times in differing but co-adaptive formats. If you had four neural clusters dedicated to spatial visualization and your friend had only three, you would be better at geometry. But if your friend practiced a lot, he could repurpose chunks of his neocortex to use his three clusters and then some with finer heuristics, with the result of beating you in geometry even though you had more "talent" and potential at equivalent practice rates. Moral of the story: don't worry about talent, practice makes better, kids.