Yes, in many areas, it is more realistic that factors are at least somewhat correlated. Permitting these correlations often leads to better simple structure (an easily interpretable loading pattern) than an orthogonal rotation that forces factors to be uncorrelated. See:

Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift's electric factor analysis machine. Understanding statistics: Statistical Issues in Psychology, Education, and the Social Sciences, 2(1), 13-43.

https://www.tonycoxon.com/Edinburgh/Block%203/Reading/tomswift.pdf