How does decreasing Random Forest samples size increase correlation?

In machine learning 1 lesson 4, jeremy says ’ By decreasing the set_rf_samples number, we are actually decreasing the power of the estimator and increasing the correlation’

However, I would think that it decreases correlation, since there is less chance of overlap between samples of different decision trees.