In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the "fine cuts" approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. I hope the review shows that it is still necessary to consider cognition, despite the exciting advances in Big Data, Artificial Intelligence, and computational modelling characterising our field.