Generalization involves identifying universal principles from observed patterns or theories, allowing the abstraction of broader scientific rules that guide predictive reasoning. In chemistry, this principle connects specific reactions or properties to overarching trends, bridging empirical observations and theoretical models. Generalization is essential for developing predictive models and guiding experimentation. Periodic trends, such as the increase in ionization energy across a period or the decrease in atomic radius down a group, exemplify possibilities for chemists to build up a higher-level explanation/theory for predicting properties across elements. These patterns serve as powerful tools for understanding chemical behavior, although exceptions-like the anomalous stability of noble gases or deviations in d-block elements-highlight the importance of critical evaluation.